Robustness Study of Fractional Order PID Controller Optimized by Particle Swarm Optimization in AVR System
نویسندگان
چکیده
منابع مشابه
Design of a fractional order PID controller for an AVR using particle swarm optimization
Application of fractional order PID (FOPID) controller to an automatic voltage regulator (AVR) is presented and studied in this paper. An FOPID is a PID whose derivative and integral orders are fractional numbers rather than integers. Design stage of such a controller consists of determining five parameters. This paper employs particle swarm optimization (PSO) algorithm to carry out the aforeme...
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This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve perfor...
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This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm. the AVR is not robust to variations of the power system parameters therefore, it is necessary to use PID controller To increase the stability and performance of the AVR system. Fast tuning of optimum PID controller paramete...
متن کاملFrequency Domain Design of Fractional Order PID Controller for AVR System Using Chaotic Multi-objective Optimization
A fractional order (FO) PID or FOPID controller is designed for an Automatic Voltage Regulator (AVR) system with the consideration of contradictory performance objectives. An improved evolutionary Nondominated Sorting Genetic Algorithm (NSGA-II), augmented with a chaotic Henon map is used for the multiobjective optimization based design procedure. The Henon map as the random number generator ou...
متن کاملDesign of a Fractional Order PID Controller Using Particle Swarm Optimization Technique
Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic eq...
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ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2016
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v6i5.pp2033-2040