Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System (original) (raw)
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Implementation of Fractional Order PID Controller for An AVR System Using GA Optimization Technique
In recent years, the research and studies on fractional order (FO) modelling of dynamic systems and controllers are quite advancing. To improve the stability and dynamic response of automatic voltage regulation (AVR) system, we presented fractional Order PID (FOPID) controller by employing Genetic Algorithm (GA) technique. We used fractional order tool kit a masked fractional order PID block in MATLAB programming to implement the P ⋋ controller for any type of system. Comparisons are made with a PID controller from standpoints of transient response. It is shown that the proposed FOPID controller can improve the performance of the AVR in all the aspects. I. INTRODUCTION Even so much research was developed in soft computing techniques for designing controllers, still these techniques fails areas. Neuro-controllers works according to the training given to them and their performance depends on the availability of vast data set of training inputs and target values of the process. Certainly, there is a probability of missed data in the training set, in such case the controller fails to generate an accurate output. Also, the performance of the fuzzy controllers is purely based on the rule base, selection of membership functions and their range and it was still challenging to decide the fuzzy parameters. Still today most of the control problems are smoothly solved by PID controllers due to simplicity in their design and easy implementation. It has been shown that two extra degrees of freedom from the use of a fractional-order integrator and differentiator make it possible to further improve the performance of traditional PID controllers. Details of past and present progress in the analysis of dynamic systems modeled by Fractional order differential equations (FODEs) can be found in [1–14]. Literature survey gives the fractional controller which was developed by Crone in [3], while [4, 12, 13] presented the controller and [3,14] proposed the P ⋋ controller. We extended the benefits of P ⋋ controller for AVR system. In Particular, a masked P ⋋ controller is developed in matlab by programming to optimize the parameters based on the recently developed optimization techniques instead of using toolbox which was restrained for using advanced optimization techniques. Genetic Algorithm (GA) technique has already been used to determine optimal solution to several power engineering problems and we employed these algorithms to design an FOPID controller for Automatic voltage regulator (AVR) problem. The proposed controller is simulated within various scenarios and its performance is compared with those of an optimally-designed PID controller. Transient response and performance robustness characteristics of both controllers are studied and superiority of the proposed controller in all two respects is illustrated.
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DESIGN OF FRACTIONAL ORDER PID CONTROLLER BASED PARTICLE SWARM
Fractional order PID (FOPID) controller is a special kind of PID controller whose derivative and integral order are fractional rather than integer which has five parameters to be tuned. This paper presents study of the implementation of tuning method and performance enhancement of the closed loop system by use of the fractional order PID (PI λ D μ) controller utilizing a MATLAB/Simulink. The tuning methods for these type controllers have many mixed tools of the available optimization methods and update artificial optimization methods in the design. In this paper particle swarm optimization has been implemented to design FOPID controller in which the unknown parameters are determined minimizing a given integral of time weighted absolute error (ITAE). The main specification of this paper is that the all five parameters of (PI λ D μ) have been found directly without spreading the steps. It has been shown that the response and performance of the closed loop system with FOPID controller is much better than integer order PID controller for the same system and with better robustness.