Optimization Techniques to tune the PID and PIDA Controllers for AVR Performance Enhancement

Volume 5 Issue 1 November - January 2017

Research Paper

Optimization Techniques to tune the PID and PIDA Controllers for AVR Performance Enhancement

Ahmed M. Mosaad*, Mahmoud A. Attia**, 0***

* PG Scholar, Department of Electrical Power and Machines, Ain Shams University (ASU), Cairo, Egypt.

**, *** Professor, Department of Electrical Engineering, Ain Shams University (ASU), Cairo, Egypt.

Mosaad, A.M., Attia, M.A., and Abdelaziz, A.Y. (2017). Optimization Techniques to tune the PID and PIDA Controllers for AVR Performance Enhancement. i-manager’s Journal on Instrumentation and Control Engineering, 5(1), 1-10. https://doi.org/10.26634/jic.5.1.10336

Abstract

This paper presents three types of optimization techniques; Teaching Learned Based Optimization (TLBO), Harmony Search Algorithm (HSA), and Local Unimodal Sampling (LUS) which are used to tune the controller parameters in Automatic Voltage Regulator (AVR) system. AVR system is used to adjust the terminal voltage of synchronous generator. This paper presents two types of controllers: Proportional-Integral-Derivative (PID) and Proportional-Integral-Derivative- Acceleration (PIDA). Each controller is used with TLBO, HSA, and LUS. For PID controller, these techniques show better performance than Many Optimizing Liaisons (MOL), Gravitational Search Algorithm (GSA), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and Differential Evolution (DE) in previous works. For PIDA controller, these techniques show better performance than Bat Search (BAT), Current Search (CS), Tabu Search (TS), and Genetic Algorithm (GA) in previous works. By comparing both controllers, PIDA shows better response in overshoot and steady state error than PID.