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Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on

Date 27-29 Dec. 2010

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Displaying Results 1 - 25 of 56
  • [Copyright notice]

    Publication Year: 2010 , Page(s): 1
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  • Table of contents

    Publication Year: 2010 , Page(s): 1 - 5
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  • An adaptive fuzzy logic based power system stabilizer for enhancement of power system stability

    Publication Year: 2010 , Page(s): 175 - 179
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (356 KB) |  | HTML iconHTML  

    This paper presents the performance of fuzzy logic based adaptive power system stabilizer (PSS) for stability enhancement of Single Machine Infinite Bus power system. The PSS is used to generate supplementary control signals for the excitation system in order to damp the low frequency power system oscillations. Here speed deviation and accelerated power are the two inputs to the fuzzy logic controller. The inference mechanism of the fuzzy logic controller is represented by 49 if-then rules. The performance of the fuzzy logic power system stabilizer (FLPSS) and without power system stabilizer was compared. The simulations were tested under different types of conditions. View full abstract»

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  • Identification & extraction of Sono-mammographic features to characterize malignant breast lesion

    Publication Year: 2010 , Page(s): 202 - 205
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (795 KB) |  | HTML iconHTML  

    Breast cancer, the second-leading cause of cancer deaths in American women, is the disease women fear most all over the world. In this paper, we present an efficient technique that uses multiple features of ultra-sonography and a diagnostic algorithm for identifying breast nodule malignancy to provide better chance of a proper treatment. An artificial neural network has been put into operation in the form of multilayer perceptron to generate the predictive model. MATLAB has been used for the simulation of this algorithm and the results obtained are presented in this paper. View full abstract»

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  • A new method for multi sensor image fusion of remotely sensed images

    Publication Year: 2010 , Page(s): 206 - 210
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1070 KB) |  | HTML iconHTML  

    Image fusion refers to the process of combining two or more images into one composite image, which integrates the information contained within the individual images. In this paper, we have proposed a new image fusion scheme for remotely sensed images to fuse multispectral (MS) and panchromatic (Pan) images. The existing standard Intensity Hue Saturation (IHS) method as well as "a trous" wavelet decomposition (ATWD) method are effectively integrated to incorporate the benefits of both methods efficiently. ATWD consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low resolution) data, but wavelets have much less spatial information than those fused by standard Intensity-Hue-Saturation (IHS) method. Standard IHS method has high spectral distortion. In our proposed method, a modified IHS fusion new method based on controlling factor is formulated which can preserve more spatial and spectral characteristics. The performance of the proposed method is validated with SPOT SAR and LANDSAT images, where the performance analysis is yielded using correlation coefficient and root mean square error (RMSE). The effectiveness and the performance of the proposed method is found to be superior than the existing ones. The proposed new method gives the best results among all by preserving both spectral and spatial information. View full abstract»

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  • Genetic algorithm based segmentation of high resolution multispectral images using GMRF model

    Publication Year: 2010 , Page(s): 230 - 235
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (514 KB) |  | HTML iconHTML  

    This paper examines hybrid genetic algorithm and Gaussian Markov random field model based method for unsupervised segmentation of multi-spectral textured images. It also evaluates the popular unsupervised image segmentation approaches, Genetic algorithm (GA) based clustering and simple Gaussian Markov random field (GMRF) model with the hybrid GA-GMRF method for high spatial resolution textured imagery. Each method is described and the compatibility of each method with the textured image is examined. It is observed that GA based clustering is more suitable for medium resolution imagery and for images without textures. GMRF model using iterated conditional modes (ICM) algorithm which gives desirable results for textured images, requires several iteration steps to approximate near optimal solutions. The hybrid GA-MRF method, in which the powerful global exploration of GA is used to initialize the ICM algorithm, has found more promising and gives improved results in terms of both accuracy and time complexity than the two other methods for multi-spectral textured images. View full abstract»

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  • Collision avoidance with obstacles in flocking for multi agent systems

    Publication Year: 2010 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (262 KB) |  | HTML iconHTML  

    Multi agent system is a system consist of multiple interacting agents. These systems tend to select the best solution for their problems. They can be used in different tasks which are hard for an individual or even a complex system to do. One of the most common algorithms which are used in multi agent systems is flocking. Here we introduce a theorem that multi agent systems could flock in environments with fixed obstacles without any collision between agents and obstacles. We use Lyapunov theory and prior algorithms on flocking to extract a theorem which under those conditions in the theorem, collision never occurs between agents and obstacles. Results show that the theorem insures collision avoidance between agents and obstacles. View full abstract»

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  • Analysis of attenuation, isolation and switching speed of DP4T double gate RF CMOS switch design

    Publication Year: 2010 , Page(s): 257 - 258
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (169 KB) |  | HTML iconHTML  

    In this paper, we have discussed the attenuation with ON resistance, isolation and switching speed of a Double-Pole Four-Throw (DP4T) RF CMOS switch, with properties of symmetric double-gate (DG) MOSFET to make obvious the advantages for DG circuits and reduce the number of transistors which increases the circuit density per unit area in addition to functionality as compare to simple CMOS switch. This provides a switch with a better attenuation, isolation and switching speed to drive the circuit that does not add appreciable signal propagation delay and does not require additional voltage power supply. View full abstract»

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  • Designing parameters for RF MOS cells

    Publication Year: 2010 , Page(s): 259 - 262
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (407 KB) |  | HTML iconHTML  

    Demand of radio frequency switches using Metal-Oxide-Semiconductor (MOS) technology at high-frequencies for wireless telecommunication system is increasing drastically. This paper presents the results for the development of a cell library that includes the basics of the design parameters for n-MOS transistor and p-MOS transistor to design a RF CMOS switch. The cell library design includes the properties for RF circuit design standard and measurement outcomes are presented. The cell parameters presented here are calculated (designed) using 2.0 μm and 0.8 μm technology MOS integrated circuit. In this paper we discussed and found better result in terms of drain current for gate voltage of 2.1 V compare to 1.2 V, calculate the power for these voltages and time constant with help of contact resistance and capacitances. View full abstract»

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  • Some new notions in the stability investigations and design of controllers for nonlinear systems

    Publication Year: 2010 , Page(s): 106 - 113
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1320 KB) |  | HTML iconHTML  

    Design of an adaptive controller for complex dynamic systems is a big challenge faced by the researchers. In this paper, we introduce a novel concept of dynamic pole motion (DPM) for the design of an error-based adaptive controller (E-BAC). The purpose of this novel design approach is to make the system response reasonably fast with no overshoot, where the system may be timevarying and nonlinear with only partially known dynamics. The E-BAC is implanted in a system as a nonlinear controller with two dominant dynamic parameters, the dynamic position feedback and the dynamic velocity feedback. For illustrating the strength of this new approach, in this paper we give an example of a flexible robot with nonlinear dynamics. In the design of this feedback adaptive controller, parameters of the controller are designed as a function of the system error. The position feedback Kp(e, t) and the velocity feedback Kv(e, t) are continuously varying as a function of the system error e(t). In these feedback parameters, the position feedback Kp(e, t) controls the system bandwidth, thereby the rise time in step response, whereas the velocity feedback Kv(e, t) controls the damping ratio of the system thereby the overshoot in the step response. For large errors, Kp(e, t) is large which increases the bandwidth of the system thereby a smaller rise time. Whereas, for decreasing errors, Kp(e, t) is continuously decreased to a small value with decreasing bandwidth of the system. Similarly, but contrarily, Kv(e, t) is kept very small for large errors, and it is continuously increased to a large value for decreasing error. Hence, in the design of the proposed adaptive controller, the position feedback Kp(e, t) and the velocity feedback Kv(e, t) are formulated as functions of the system error, and this approach for formulating the adaptive controller yields a very fast response with no overshoot. View full abstract»

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  • A hybrid Adaline and Bacterial Foraging approach to power system harmonics estimation

    Publication Year: 2010 , Page(s): 236 - 242
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1049 KB) |  | HTML iconHTML  

    Harmonics estimation for a signal distorted with additive noise is an interdisciplinary area of interest for many researchers. This paper presents Bacterial Foraging Optimization (BFO) for estimating the fundamental as well as harmonic components present in power system voltage waveforms. The basic foraging strategy is made more adaptive by updating the weights of Adaptive Linear Neural Networks (Adaline) on taking the initial weighs as output of BFO. Performance of this new algorithm is compared with that of existing BFO. View full abstract»

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  • Coordinated motion planning of multiple mobile robots using potential field method

    Publication Year: 2010 , Page(s): 6 - 11
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (225 KB) |  | HTML iconHTML  

    The present paper deals with the navigation of multiple wheeled robots working in a common dynamic environment, in a decentralized manner. A potential field-based motion planner has been developed to plan the motion of the robots and a strategic approach has been proposed to develop the decision making support. Performance of the developed approaches have been tested through computer simulations. Proposed strategy has been found to solve the conflicts and induced coordination among the agents. View full abstract»

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  • Modified intelligent fuzzy controller of tracking a Hard Disk Drive actuator using the approaching index switch

    Publication Year: 2010 , Page(s): 180 - 184
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (349 KB) |  | HTML iconHTML  

    This paper uses a new switching control algorithm called the approaching index. A closed-loop index is designed to decide if the system is approaching the final destination or not. The index is used in the online switching rule to select the adequate controller output policy to be applied to the system during each control period. Here, it is allowed to switch between fuzzy logic control and the classical Proportional Derivative PD control. On the application side, as the need of high capacity, small size data storage devices is increasing, it is hardly needed to find controller performance able to meet the challenging specifications for Hard Disk Drives (HDD). The performance of the proposed switching control algorithm is illustrated using a model of a Voice-Coil-Motor (VCM) actuator of a HDD. The proposed controller shows much better performance than those of the PD controller. The resulting system has smaller rise time, minimal overshoot and faster settling time. View full abstract»

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  • Performance improvement with a robust self tuned fuzzy logic controller for generator control in wind energy system

    Publication Year: 2010 , Page(s): 185 - 190
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4991 KB) |  | HTML iconHTML  

    In this paper a line excited cage generator is considered which is connected with the grid through a bidirectional PWM converter-inverter system. The generator is controlled by indirect field oriented control (IFOC) scheme. Fuzzy logic controllers (FLC) are used for the control purpose. The first FLC is used in the outer speed loop to track the generator speed with the reference speed for maximum power extraction and the second and third FLCs are used in the inner current loops for control of active and reactive power. The FLCs use normalized values of error and change of error as their inputs. The outputs of the FLCs are again multiplied with gains to give the control signals. A trapezoidal membership function is taken for the error input and triangular membership functions are taken for change of error as well as output. Again a robust self tuned fuzzy logic controller (STFLC) scheme is used in place of the FLCs. In this scheme a tuning FLC (TFLC) is used to tune the output gain of the main FLC. The inputs to both the FLCs are normalized values of error and change of error. The output of the TFLC is the output gain of the main FLC. The main FLC is similar to the FLC as discussed in the previous scheme. In the TFLC triangular membership functions are used for all input as well as output variables. The performances of both the schemes are simulated and a comparison is given. The simulation work is done in MATLAB coding environment. View full abstract»

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  • A comparative study on fuzzy and PI speed controllers for field-oriented induction motor drive

    Publication Year: 2010 , Page(s): 191 - 196
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (754 KB) |  | HTML iconHTML  

    This paper presents simulation results obtained from a feedforward vector controlled induction motor drive under varying operating conditions like step change in speed command and step change in torque command. Here fuzzy logic controller is used for controlling the speed. The performance of fuzzy logic controller has been investigated and compared with the conventional PI controller based drive. The simulation results show that fuzzy controller is superior to PI controller under dynamic condition. View full abstract»

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  • Coupled inductor bidirectional DC-DC converter for improved performance

    Publication Year: 2010 , Page(s): 28 - 33
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1057 KB) |  | HTML iconHTML  

    Energy storage is the major concern in smart micro grids like in renewable power generation, electric vehicles and small scale DC-UPS systems. This paper proposes analysis, and voltage mode control of coupled inductor bidirectional converter. Unfortunately, switches of four and beyond in isolated schemes increase production costs and reduce conversion efficiency, and non-isolated topologies suffer from high voltage/current stress. As compared with the counterparts of conventional converter topologies, the proposed converter has the merits of less component count, high efficiency, and smaller size. The high voltage diversity enables a battery module of low voltage to be interfaced with the high-voltage dc bus or the micro grid for subsequent utilization. The battery fed bidirectional converter with controller to regulate the DC link voltage and battery charge voltage is implemented in the Simulink/Matlab environment. Also, experimental confirmation of the proposed converter is shown. View full abstract»

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  • QFT based robust controller for single-phase AC-AC buck converter

    Publication Year: 2010 , Page(s): 142 - 147
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (980 KB) |  | HTML iconHTML  

    In this paper, Quantitative Feedback Theory (QFT) based robust controller for AC-AC buck converter is proposed whose transfer function involves complex load term. The proposed design would give the robust control action against the uncertainty in the parameters of AC-AC buck converter and the desired specifications bound. The proposed design is illustrated using QFT-Terasoft toolbox. View full abstract»

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  • Parallel structure of fuzzy PID controller under different paradigms

    Publication Year: 2010 , Page(s): 114 - 121
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1054 KB) |  | HTML iconHTML  

    The development of fuzzy PID controllers need the construction of a three-dimensional rule base, which makes its design very complicated in terms of rule base structure and implementation of inferencing. Due to these disadvantages, design of a two input fuzzy PID controller structures become an interest which is a combination of two term fuzzy logic controllers i.e. fuzzy PI and fuzzy PD controllers. Analytical structures for parallel structure configuration of fuzzy proportional-integral-derivative (PID) controllers are derived using minimum triangular norm, different combinations of triangular co-norms (maximum, drastic sum), different inference methods (such as Mamdani minimum, Larsen product, drastic product, bounded product and standard sequence) and center-of-sum denazification method. This work also discuss about how to derive the analytical structures for Parallel structure of fuzzy PID controller (i.e., Fuzzy PI + Fuzzy PD controller) under different classes. A series of computer simulations are pursued and are included to demonstrate the effectiveness of the parallel structure fuzzy PID (FPI + FPD) controller and fuzzy PID controller over the conventional controller applied to time-delay systems, non-linear and complex systems. View full abstract»

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  • Analytical structures of Gain-Scheduled fuzzy PI controllers

    Publication Year: 2010 , Page(s): 122 - 128
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1170 KB) |  | HTML iconHTML  

    In this paper analytical input and output relation for Gain-Scheduled fuzzy PI controllers that use Zadeh AND operator with symmetric trapezoidal input fuzzy sets and skewed trapezoidal input fuzzy sets are derived. Overall input space division for symmetric and skewed trapezoidal input fuzzy sets with three membership functions in each input are derived for gain scheduled Fuzzy PI controllers. A self-tuning scheme for fuzzy logic controllers (FLCs) with output scaling factor (SF) is adjusted by fuzzy rules according to current trend of controlled process. The rule-base for tuning the output scaling factor is defined on error and change in error of the controlled variable using the symmetric trapezoidal and skewed trapezoidal membership functions (MFs). Tuning of the output scaling factor plays an important role in this self-tuning scheme. To show the effectiveness of gain scheduled fuzzy PI over fuzzy PI controller computer simulations for first order and second order time delay systems are considered. View full abstract»

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  • Study of electrical equivalent model of the PMMA coated probe dipped in milk and milk adulterated with tap water

    Publication Year: 2010 , Page(s): 53 - 58
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (481 KB) |  | HTML iconHTML  

    The aim of this work is to study the impedance characteristics at the electrode-electrolyte interface of the PMMA coated probe dipped in different percentages of adulterated (tap water) milk and propose a relevant equivalent circuit model for each adulteration using curve fitting program. The modeling of the probe with lumped element as well as distributed element is obtained using LEVMW software and the best-fit model is estimated. Also mathematical modeling of electrical equivalent circuit is derived and comparison of simulated data with experimental data of impedance of PMMA coated probe dipped in sample milk is done. View full abstract»

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  • Rotor levitation by Active Magnetic Bearings using Fuzzy Logic Controller

    Publication Year: 2010 , Page(s): 197 - 201
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (678 KB) |  | HTML iconHTML  

    Active Magnetic Bearings(AMB) have many advantages such as no friction loss, no abrasion, lubrication-free quality, and used for high rotational speed applications. A complete system consists of an actuator, power amplifier, a rotor position sensor and a control system. In this paper, a closed loop decentralized Fuzzy Logic control for Active magnetic Bearings is designed. For the numerical evaluation of control algorithm a MIMO (multiple input multiple output) mathematical model of the controlled plant is determined. The majority of industrial applications of active magnetic bearings were still based on conventional PID control system. The proposed control design is based on rule based procedure. It has been shown, that the presented FL control guarantees satisfactory high damping, low parameter variations and measurement noise of the overall system. With this FL control we are able to maintain the rotor in center position in the final steady state. View full abstract»

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  • Energy efficient protocol for providing QoS for Wireless Sensor Network

    Publication Year: 2010 , Page(s): 263 - 268
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (380 KB) |  | HTML iconHTML  

    Wireless Sensor Networks (WSNs) has foreseen big changes in data gathering, processing and disseminating for monitoring specific applications such as emergency services, disaster management, and military applications etc. Wireless sensor network consists of a group of spatially distributed sensor nodes which are interconnected without wires. In this paper we have proposed energy efficient protocol for providing quality of service (QoS) for wireless sensor network with two sensing units and two transmission units. The rate guaranteed service for the transmission of data of one sensor while it is a best effort service for the data of the other sensor in a node. This protocol overcomes the problem related to event capturing and real time data transfer. The proposed protocol was simulated using OMNET++4.0 simulator. The performance of proposed protocol is Dual Radio Transmission Protocol (DRTP) was compared with Collaborative Two-level Task Scheduling (CTAS). Simulation results show that our proposed protocol outperforms CTAS in terms of network life time. The proposed protocol is more energy efficient than CTAS. View full abstract»

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  • Performance of packet delivery schemes in Wireless Sensor Networks in Rician fading channel

    Publication Year: 2010 , Page(s): 269 - 274
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (701 KB) |  | HTML iconHTML  

    This paper evaluates energy level performance of three packet delivery schemes in a Wireless Sensor Networks (WSN) in multipath Rician fading channel. Three different information delivery mechanisms are investigated using regenerative relays with or without error correction capability. Energy consumption for successful delivery of a data packet for each mechanism is evaluated and compared under several conditions of node density, bit rate and transmit power. Energy efficiency of different retransmission schemes are evaluated. Further an optimal packet length based on energy efficiency is derived. Impact of different level of severity of Rician fading on energy efficiency and energy consumption is also investigated. Impact of fixed and optimal packet size on energy consumption is analyzed. View full abstract»

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