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Power, Control and Embedded Systems (ICPCES), 2010 International Conference on

Date Nov. 29 2010-Dec. 1 2010

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  • Table of contents

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  • Authors index

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  • Simulation of a dilatory thermal system and controlling it with LabVIEW

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (650 KB) |  | HTML iconHTML  

    In this paper, a thermal dilatory system is suggested, which can simulate the thermal process of a sample system with electrical circuits and LABVIEW software. In a real system, we can expect to have a combination of a linear equation and one delay. It's needed to be mentioned that we can use a combination of delay and linear equation to model a higher degree system. In this paper, this model will be studied. In this paper we simulated an industrial dilatory thermal system so that most of its functionality are considered and maintained. Although so many systems are introduced for controlling a thermal process, but the models that can simulate an industrial thermal dilatory system in laboratory which considers most of the properties of the system are limited. View full abstract»

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  • Frequency based oscilloscope triggering scheme

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (235 KB) |  | HTML iconHTML  

    This paper presents a novel frequency based oscilloscope triggering technique for measurements involving complex waveforms that are challenging even today. Proposed technique is capable of providing stable triggering even in the case of complex periodic waveforms category where commonly used level triggering scheme fail to perform adequately and may be used in problem of estimating many typical signal processing situations, such as Doppler estimation of radar and sonar returns, vibration measurements, geophysical data processing, and surveillance observations of the electromagnetic spectrum. For stable display of a signal in an oscilloscope, it must be triggered at its base frequency. In this technique, frequency of all harmonics present in test signal is retrieved using FFT and the base repetition rate of the signal is found by selecting the frequency of lowest harmonics present in the test signal. Numerous complex test waveforms are generated and their harmonic contents are analyzed in the virtual environment of LabVIEW™ software. To verify the efficacy of the proposed technique, it is implemented using LabVIEW™ software and PCI DAQ card. It is found that the proposed technique is equally effective in detecting the base repetition rate of complex as well as simple waveforms. Technique proposed in this paper would be of interest to instrumentation design engineers. View full abstract»

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  • A novel control strategy based shunt APLC for power quality improvements

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (374 KB) |  | HTML iconHTML  

    This paper presents shunt active power line conditioners for power quality improvement such as harmonics and reactive power compensation due to non-linear loads. The novel compensation control strategy is based on positive sequence voltage detector with generalized Fryze currents minimization, an approach different from conventional methods; the purpose is to guarantee linearity between the supply voltage and the compensated current. The shunt APLC system is implemented with current controlled Voltage Source Inverter (VSI) and is connected to the distribution network for canceling current harmonics. The reference currents are extracted using the Fryze Current Minimization (FCM) algorithm and VSI switching signals are derived from hysteresis current controller (HCC). This method maintains the capacitance voltage of the inverter constant without any additional control circuit. The shunt APLC system is investigated and the performance parameters are obtained under various non-linear and unbalanced load conditions. View full abstract»

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  • Five-level cascaded active filter for power line conditioners

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (403 KB) |  | HTML iconHTML  

    This paper presents a five-level cascaded multilevel Voltage Source Inverter (VSI) based shunt active filter for Power Line Conditioners (PLC) to improve power quality. The reference current extraction is based on sensing main currents that are multiplied with estimated peak reference current. The proposed approach comprises Low Pass Filter (LPF) in conjunction with Proportional Integral (PI) controller is used to estimate the peak reference current and maintain the DC-bus capacitor voltage of the inverter nearly constant. The cascaded multilevel active filter switching signals are derived from proposed triangular carrier current modulator; it gives better dynamic performance under transient and steady state operating conditions. The APLC system is validated through extensive simulation under steady state and transient condition with different non-linear loads. These simulation results reveal that the cascaded active filter effetely compensates the current harmonics and reactive volt amperes. View full abstract»

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  • Nodal pricing with different reactive power cost models in hybrid electricity markets

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (296 KB) |  | HTML iconHTML  

    In this paper, the nodal price for real and reactive power considering different reactive power price cost calculation methods for generator reactive power has been presented. The impact of FACTS controllers has also been considered taking their cost function into account. The comparison of fuel costs, reactive power cost, and cost of FACTS devices, and their impact on nodal price determination has been presented for different cases with reactive power cost models for determining reactive cost component for generators. The impact of SVC has also been considered on nodal price of real and reactive power. Mixed integer non-linear programming approach has been formulated for solution. The proposed approach has been tested on IEEE 24-bus Reliability Test System (RTS) for hybrid market model. View full abstract»

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  • A comparative study of Modified Particle Swarm Optimization, Differential Evolution and Artificial Bees Colony optimization in synthesis of circular array

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (208 KB) |  | HTML iconHTML  

    This paper describes a method of synthesis of uniform circular array with optimized spacing using three recent search heuristics: Modified Particle Swarm Optimization (MPSO), Differential Evolution (DE) and Artificial Bees Colony (ABC) algorithms. The objective of the work is to generate a pencil beam with minimum Side Lobe Level (SLL) and maximum possible Directivity for fixed half power beam width (HPBW). Excitation of individual array elements is computed using the algorithms. Dynamic Range Ratio (DRR) of current amplitude distribution does not exceed a prefixed threshold value. Phase of the individual excitation is fixed at zero degree. Simulation results show considerable enhancements in array performances using the global optimizers. The paper finally illustrates a comparative evaluation of the three proposed algorithms regarding their applicability as numerical optimization techniques. View full abstract»

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  • Non unique equivalent control in sliding mode with linear surfaces

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (659 KB) |  | HTML iconHTML  

    This paper presents a new formulation for “Equivalent Control” used in sliding mode control. Although in literature there exist a unique equivalent control for a given system and linear sliding surface, it is shown that the equivalent control can be non unique. Further this flexibility in equivalent control is used to obtain the sliding mode control for specific needs such as actuator saturation, faster reaching without increasing chattering, confining the sliding mode in a specified sector and simple second order sliding mode control design. View full abstract»

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  • A new power converter for SRM drive

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (455 KB) |  | HTML iconHTML  

    Switched Reluctance Motor (SRM) is becoming more and more popular for high speed industrial application environments due to its rugged and robust construction. For low-cost variable-speed drives, SRM are most widely used in competition with induction motors, brushless dc motors, or other conventional ac motors because of their simpler design and higher operating speeds. This paper analyzes and presents the problems associated with Miller converter and modified Miller converter used for powering SRM drive. An improved converter configuration which contains (2N-1) devices is proposed in this paper to overcome the drawback of these power configurations. This new topology provides improved utilization of the devices. A detailed explanation and demonstration of the converter circuit using simulation studies have been presented. View full abstract»

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  • A DVCC-based non-linear analog circuit for solving linear programming problems

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (249 KB) |  | HTML iconHTML  

    This paper presents a neural circuit for solving linear programming problem (LPP). The objective is to minimize a first order cost function subject to linear constraints. The dynamic analog circuit, consisting of N identical units for N variable problem, can solve the general LPP and always converges to the optimal solution in constant time, irrespective of the initial conditions, which is of the order of its time constant. The proposed circuit employs non-linear feedback, in the form of Differential Voltage Current Conveyor (DVCC) based unipolar comparators, to introduce transcendental terms in the energy function ensuring fast convergence to the solution. Further, the use of resistors to generate weighted inputs to the neurons is avoided. Instead, DVCCs are utilized to directly generate the required scaled currents. PSPICE simulation results are presented for a chosen optimization problem and are found to agree with the algebraic solution. View full abstract»

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  • Sliding mode state observer for 2-DOF twin rotor MIMO system

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (144 KB) |  | HTML iconHTML  

    This paper presents a sliding mode state observer for the 2-DOF twin rotor MIMO (multi-input-multi-output) system which belongs to a class of inherently nonlinear systems. Design parameters are selected such that on the defined switching surface, asymptotically stable sliding mode is always generated. Robust sliding and global asymptotic stability conditions are derived by using Lyapunov method. The unknown nonlinearities are estimated and the state estimation errors tend to zero asymptotically. View full abstract»

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  • A study of conventional and fuzzy PI controller CSI fed induction motor

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (220 KB) |  | HTML iconHTML  

    A comparative study has been made for closed loop performance of CSI fed induction motor using fuzzy logic PI controller with conventional PI controller. A slip control scheme has been used for the induction motor. The evaluation of the controller's behavior is made through computer simulation with MATLAB coding. The starting transients of the motor are investigated for different operating speeds. It has been shown that for fuzzy controller, once the parameters are selected for a specified load and speed, it works for all other speed whereas for conventional PI controller, the parameters have to change for each load and speed setting. The fuzzy controller reduces the over shoot value of speed approximately 2 to 5 % for the selected load. The peak value of input DC link current of the CSI is also less in fuzzy PI controller as compared to conventional PI controller. This reduces the rating of the semiconductor switches used in inverter and thus overall cost of the system. View full abstract»

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  • An LMI criterion for anti-windup design with global asymptotic stability for continuous-time linear systems

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (186 KB) |  | HTML iconHTML  

    The paper presents the anti-windup design for continuous time linear system. An LMI-based approach with improved sector condition is stated for global asymptotic stability of the continuous time linear system. The proposed technique has been illustrated with an example. View full abstract»

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  • FPGA based space vector modulated trigger controller for a frequency converter

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (326 KB) |  | HTML iconHTML  

    This paper proposes FPGA based space vector modulated (SVM) trigger controller that may be applied to a frequency converter used for high speed electrical drives, speed control of AC motor, induction heating, fluorescent lighting, ballast, high frequency power supplies and so on. To generate space vector pulse width modulated trigger pulses for the converter pperipheral input-output and FPGA interfacing has been developed through Xilinx 9.2i. In order to relieve the controller from the time consuming computational task of PWM signal generation, method of space vector PWM signal generation is implemented on FPGA using Hardware Description Language VHDL in Xilinx. Simulated results are shown on ISE-Simulator and they are found to be satisfactory. View full abstract»

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  • Sensorless SVM-DTC method for induction motor drives based on amplitude and angle decoupled control of stator flux

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (789 KB) |  | HTML iconHTML  

    This paper proposes an algorithm for direct flux and torque controlled sensorless three phase induction motor drive systems. This method is based on control of slip speed and decouple between amplitude and angle of reference stator flux for determining required stator voltage vector. Within the given sampling time, flux as well as torque errors are controlled by stator voltage vector which is evaluated from reference stator flux. The direct torque control is achieved by reference stator flux angle, which generates from instantaneous slip speed angular frequency and stator flux angular frequency. The amplitude of the reference stator flux is kept constant at rated value. This technique gives better performance in sensorless three phase induction motor than conventional technique. Simulation results for 3 hp induction motor drive for both proposed and conventional techniques are presented and compared. From the results it is found that the stator current, flux linkage and torque ripples are decreased with proposed technique. View full abstract»

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  • Comparison of RBF and MLP neural networks in short-term traffic flow forecasting

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (213 KB) |  | HTML iconHTML  

    Expanding mathematical models and forecasting the traffic flow is a crucial case in studying the dynamic behaviors of the traffic systems these days. Artificial Neural Networks (ANNs) are of the technologies presented recently that can be used in the intelligent transportation system field. In this paper, two different algorithms, the Multi-Layer Perceptron (MLP) and the Radial Basis Function (RBF) have been discussed. In the training of the ANNs, we use historic data. Then we use ANNs for forecasting a daily real time short-term traffic flow. The ANNs are trained by the Back-Propagation (BP) algorithm. The variable coefficients produced by temporal signals improve the performance of the BP algorithm. The temporal signals provide a new method of learning called Temporal Difference Back-Propagation (TDBP) learning. We demonstrate the capability and the performance of the TDBP learning method with the simulation results. The data of the two lane street I-494 in Minnesota city are used for this analysis. View full abstract»

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  • Traffic state variables estimating and predicting with extended Kalman filtering

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (213 KB) |  | HTML iconHTML  

    To develop mathematical models and estimate their parameters are an essential issue for studying dynamic behaviors of traffic systems. METANET model is one of the most applicable models in traffic modeling which parameters have plenty of effects on model behavior. In this paper, we describe the effects of the model parameters on the model behavior and the estimation quality of system states in the case of undetermined parameters. The preliminary results show that EKF can accurately estimate the parameters and predict states in nonlinear state-space equations for modeling dynamic traffic networks for preparing proper signal in traffic control. View full abstract»

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  • Optimal placement of Static VAr Compensators (SVC's) using Particle Swarm Optimization

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (245 KB) |  | HTML iconHTML  

    The identification of optimal locations for 3 Static VAr Compensators (SVC's) in an IEEE 30 bus system is considered in this paper. The problem is drafted as an optimization task and the solution is achieved through Particle Swarm Optimization (PSO). Extensive simulation results are presented to validate the new approach. View full abstract»

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  • State feedback and output feedback tracking control of discrete-time nonlinear system using Chebyshev neural networks

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    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (203 KB) |  | HTML iconHTML  

    This paper deals with both state feedback and output feedback tracking control of discrete-time nonlinear system using CNN. Firstly, state feedback control is presented via backstepping, applied to a strict feedback form. In this CNN is used to approximate unknown functions to design control law by the backstepping technique and solves the non-causal problem in discrete-time system. After this output feedback control is presented by converting strict feedback form into cascade form (Brunovsky form). This paper also presents the respective stability analysis, on the basis of the Lyapunov approach, for the whole controlled system. A single layer functional link CNN is used where the need of hidden layer is eliminated by expanding the input pattern by Chebyshev polynomials and approximation of complex nonlinear systems becomes easier. A simulation example is given to show the effectiveness of control schemes. View full abstract»

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