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Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on

Date 8-10 Nov. 2010

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Displaying Results 1 - 25 of 161
  • [Front cover]

    Publication Year: 2010 , Page(s): c1
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  • [Copyright notice]

    Publication Year: 2010 , Page(s): 1
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  • Welcome to the 9th INDUSCON

    Publication Year: 2010 , Page(s): 1 - 2
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  • Conference board

    Publication Year: 2010 , Page(s): 1
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  • Reviewers

    Publication Year: 2010 , Page(s): 1 - 2
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  • Platinum sponsorship

    Publication Year: 2010 , Page(s): 1
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  • General time table

    Publication Year: 2010 , Page(s): 1
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  • Tutorial sessions [5 abstracts: includes Panel Sessions]

    Publication Year: 2010 , Page(s): 1 - 3
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    Provides an abstract for each of the tutorial and panel presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Sessions and articles

    Publication Year: 2010 , Page(s): 1 - 33
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  • Quantificação de não-linearidades em malhas de controle oscilantes via método da função descritiva

    Publication Year: 2010 , Page(s): 1 - 6
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    The presence of friction and other non-linearities is a cause of oscillations in control loops, with negative effects on quality and cost of goods. The method of describing function is traditionally used to predict the period and amplitude of cycles limit control loops. This method is used in this article for detection and quantification of nonlinearities, using for this usual process data and an approximate model. The effect of uncertainty on the model and the presence of multiple frequencies of oscillation are analyzed. The potential for nonlinearities detection and quantification of the method is evidenced by its successful application to different situations. View full abstract»

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  • Identification and control of the aluminium casting process

    Publication Year: 2010 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (295 KB) |  | HTML iconHTML  

    In this paper it is presented a design procedure for identification and control of the metal level on the aluminium casting process. This process is the final step of the aluminium production and is extremely related to the product quality issues. The automatic control of the metal level allows operators focus on other activities and reduces product variability due to disturbances. This avoid production losses and contribute to achieve the process optimum performance. The design scheme is based on digital control framework. A supervisory controller is proposed also to handle complete process automation. Some issues are considered in order to allow control system implementation using a Programable Logical Controller. Real application data illustrates the effectiveness of the design scheme. View full abstract»

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  • Multivariable nonlinear boiler power plant identification through neural networks and Particle Swarm Optimization approaches

    Publication Year: 2010 , Page(s): 1 - 6
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (396 KB) |  | HTML iconHTML  

    The identification of nonlinear systems with artificial neural networks models has been successfully used in many applications. Most processes in industry are characterized by nonlinear and time-varying behavior. In this context, the identification of mathematical models for nonlinear systems is vital in many fields of engineering. The Radial Basis Function Neural Network (RBF-NN) is a powerful approach for nonlinear identification and can be improved using Particle Swarm Optimization (PSO) approaches. This paper presents a multivariable nonlinear system identification using RBF-NN combined with standard PSO and Constriction Factor PSO (CFPSO) approaches in order to determine the RBF-NN parameters. RBF-NN is considered to be a good choice for black-box modeling problems due to its rapid learning capacity and, therefore, has been applied successfully to nonlinear time series modeling and nonlinear identification. On the other hand, PSO was inspired by the choreography of bird flocks and fish schools and can be seen as a distributed behavior algorithm that performs multidimensional search. Furthermore, promising simulation results from performance analysis of the proposed RBF-NN with PSO training approaches are presented and discussed in this paper showing promising results. View full abstract»

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  • Attemps of modeling the mineral particle size by using stochastic signals in a balls mill grinding circuit

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (181 KB) |  | HTML iconHTML  

    A full treatment of nonlinear systems such as the ball mill grinding circuit might include stochastic ingredients since the inclusion of several input as well output variables could interact among them, thereby producing a phenomenology which would differ notably of the ones as perceived traditionally. In effect, such interactions could not be described in a fully deterministic scenario due to the lack of information of the phenomenology and dynamics of variables whose temporal evolution turns out to be of importance. This fact might be faced under a stochastic approach which would consider in one hand those representative parameters of the circuit and which are known to priori, and on the other hand the ones which are associated to random behaviors of “hidden” functions as result of the interaction of variables. Thus, in this report a mathematical methodology based on convoluted integrals that in some extent might describe the complexity of the system even in the case when interactions take place, is presented. The analysis and discussion is based from simulations of the temporal evolution of the most relevant variable of the balls mill grinding circuit such as the particle size mineral. According to the results, the incorporation of interactions might be of importance when a certain precision on the set point in robust schemes of control is desired. View full abstract»

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  • Modelagem de uma planta industrial dldática multivariável não linear

    Publication Year: 2010 , Page(s): 1 - 6
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    The purpose of this paper is to develop a nonlinear and multivariable model, using the step response in a industry didactic plant, which is used in the course of industrial process control at IFES - SERRA (ES). From the physical equations are determine the stationary behavior of the plant in any operation point. By using the step response, the dynamic characteristics of the plant is approximated by a first order system with stationary gain and time constant depending on the operational points. The delay of the model is found by using the least squares method and the step response. With the completed model it is developed a simulator that compares the time response of the didactic plant with the proposed model. View full abstract»

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  • Controlling the temperature of a batch reactor through a NMPC scheme based on the Laguerre-Volterra model

    Publication Year: 2010 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (354 KB) |  | HTML iconHTML  

    Often small and middle-size systems usually lack of a dynamical model which is not known in all. Moreover most of them are based on those classical PID controllers featured in not having a controlling system through a setpoint variable during the whole time where the process is in evolution. In this paper, a strategy of control based on a Nonlinear Model Predictive Control (NMPC) for nonlinear systems together to its respective technique of system identification, is proposed. In concrete, the approach taken for system identification is based on the approximate model of Volterra series where its respective kernels are projected onto Orthogonal Basis Functions (OBF). By using the previous model we shall test a NMPC technique which uses a similar technique to that of the Dynamic Matrix Control (DMC). The curve of control of temperature is compared to the case when a PID is used by showing the advantages of the scheme proposed. The usage of this scheme would be interesting to those facilities where the temperature trajectory tracking turns out to be crucial to obtain a high quality final product. View full abstract»

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  • PI multivariable control applied to temperature and humidity neonate incubators

    Publication Year: 2010 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (442 KB) |  | HTML iconHTML  

    This paper proposes multivariable PI control strategies for humidity and temperature of neonate incubator loop This process is a TITO system (Two Input Two Output). The transfer function matrix was identified using closed loop step response through sequential method that decouples the TITO system into four independent loops. Models of three parameters were used for the system loops due to simplicity. Two methods of PI tuning were then developed for the loops of the incubator with the main objective of ensuring robustness and stability, namely: i) design of decentralized PI controller using the modified Ziegler-Nichols method and ii) BLT method (Biggest Log-Module Tuning) revised. Extensive experimental test were performed and some results are presented in the paper. View full abstract»

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  • Um estudo de caso de malhas de controle de temperatura do ar quente do alto forno 1 da ArcelorMittal Tubarão

    Publication Year: 2010 , Page(s): 1 - 6
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (766 KB)  

    This article presents a methodology for detecting and correcting for variation in a loop temperature control of hot air sent to the blast furnace 1 Arcelor Mittal Tubarão. For the correction of problems techniques were used for failure analysis and different strategies for tuning controllers. To validate the results obtained, we used statistical tools. This paper describes the operation of the control loop of hot air temperature, allowing then to identify and eliminate the causes of the variations in the temperature, as well as improvements of the control loop. View full abstract»

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  • Soluções HILS baseadas em FOSS para treinamento e supervisão em controle de processos industriais

    Publication Year: 2010 , Page(s): 1 - 6
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    This work demonstrates a simulation environment, based on Hardware-in-the-Loop (HIL) technique, designed for utilization as an operator training tool and with potentiality, at a supervisory level, for analyzing security and optimization techniques. The environment, based on Java language and Eclipse compiler, a Free Open Source Software - FOSS, has no restrictions to their utilization. The digital environment simulates an industrial plant, but utilizes a built-in system composed of a command unite, in this case an analogical PID, and an industrial inverter, produced by WEG. It was necessary to design a specific communication board, whose main component is a PIC 16F877A, to connect the PID controller and the industrial inverter to the computer environment. The system simulates a real control plant belonging to the Laboratory of Industrial Process Control of the Engineering College of UFJF. Incorporating the nonlinearities and complexities of the real plant, and running with the same time constants, the HIL developed, totally FOSS based, allows the training of operators, optimization and safety analysis of the industrial plant. View full abstract»

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  • Control design with optimal rejection of disturbances applied to an active suspension system

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (136 KB) |  | HTML iconHTML  

    This paper develops an optimal H state feedback controller for a quarter-car active suspension system application. The plant parameters and performance requirements are borrowed from a prototype in the literature. The control design is done using convex optimization with linear matrix inequality constraints, which ensures a very fast and efficient computation of the controller, without trial and error procedures for control design. The results of the closed-loop system with the proposed controller prove to be attractive in terms of high attenuation of disturbances lying in the range of frequencies of typical disturbances for this application. Comparison with a controller from literature to cope with the same problem illustrate the superiority of the optimal H controller. Moreover, for the parameters used in the paper, one of the gains of the controller can be made equal to zero, leading to a control implementation with no dependence on availability of the disturbance for feedback, which is very interesting from practical point of view, since the measurement of the disturbance, a difficult task, could be avoided in the control implementation. The evaluation of the closed-loop system on time and frequency show how the controller designed for optimal rejection of disturbances can be interesting for the application. View full abstract»

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  • Robust H control for an active suspension system

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (168 KB) |  | HTML iconHTML  

    This paper provides a robust state feedback controller applied for an active suspension system. The controller presents guaranteed capacity to reject disturbances from the road even when the sprung mass of the vehicle is uncertain. The control gains are given from the solution of the H guaranteed cost controller under quadratic stability, which is solved very fast and efficiently from a convex optimization problem. These gains provide robust stability and robust performance when the uncertain parameter is time-invariant, but are also valid for the arbitrarily time-varying situation, since the results are based on a quadratic Lyapunov function. The time and frequency responses presented, with a comparison with other controller for the active suspension system with the same parameters, illustrate the superiority of the proposed controller. View full abstract»

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  • Modelagem e controle fuzzy a horizonte fixo de robôs movéis articulados: Caso real de 3 graus de liberdade e 343 regras

    Publication Year: 2010 , Page(s): 1 - 6
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (356 KB)  

    This paper discusses a new method to describe movements by fuzzy predictors and to design new open loop fuzzy controllers, for multilinked vehicles or mobile robots, using constant step approximators to model complex maneuvers with delays that vary with the robot's configuration. The “Wang & Mendel” technique for automatic modeling is tested and an ad hoc heuristic is proposed to fulfils the deficiencies of the former method and establish good models. Without loss of generality, the systematization is exemplified by a real case with a three degrees of freedom prototype to developing reduced, but coupled, fuzzy controlers with 343 rules. View full abstract»

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  • Computability of ordinary differential equations and limitations of forecasting in control engineering

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (117 KB) |  | HTML iconHTML  

    Ordinary differential equations are largely used in all branches of engineering. However, there are limitations, which are rarely recognized, about its computability. These limitations have implications in forecasting future states in any system, specially, in chaotic ones. This study will comment specifically on chaotic power electronic systems. View full abstract»

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  • Controle aplicado em tempo real a uma planta de temperatura: Resultados experimentais

    Publication Year: 2010 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (236 KB)  

    Most industrial processes are controlled by proportional-integral-derivative (PID) controllers. The popularity of PID controllers is due to their simplicity both from design and parameter tuning points of view. This work implements a system for the temperature control in a didactic system. Initially a PID controller was investigated, adjusted according to classic methodologies. After, a genetic algorithm method was applied in the system. These instructions give you basic guidelines for preparing camera-ready papers for conference proceedings. Real-time experimental results demonstrated the effectiveness and usefulness for tuning PID parameters via this evolution process. View full abstract»

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  • Design and comparative analysis of multiple controllers applied to DC-DC converters with large load range

    Publication Year: 2010 , Page(s): 1 - 6
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (318 KB) |  | HTML iconHTML  

    This paper presents a new controller design methodology for DC-DC converters operating with load varying in a large range. The proposed methodology employs a genetic algorithm to find LQR controllers with optimum performance by means of ITSE criterium and control action. A fuzzy logic based strategy is then employed to combine these local controllers, resulting in a strategy which guarantees good performance for a large range of load values. From Tellegen theorem, a load resistance estimator is obtained. The estimated resistance is used as the decision variable for the fuzzy supervisor controller. The proposed methodology is compared with the conventional LQR technique, based in a single controller, and with a controller switching strategy. Simulation results illustrate the superior performance of the converter with the application of the proposed methodology. View full abstract»

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  • Fuzzy auto-tuning for a PID controller

    Publication Year: 2010 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (152 KB) |  | HTML iconHTML  

    This paper presents a fuzzy tuning system for realtime industrial PID controllers. The system is tested in an austempering process but can be applied in any industrial process. Besides, an analysis between the response of the process with a PID controller and the system of fuzzy auto-tuning for PID proposed was made. View full abstract»

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