Genetic Algorithm Based On-line Tuning of a PI Controller for a Switched Reluctance Motor Drive

GA based frequency controller for solar thermal–diesel–wind hybrid energy generation/energy storage system

“…The controller gains once tuned for a given operating point are only suitable for limited operating point changes. Therefore, the use of the conventional PI controller does not meet the requirements of the robust performance [5]. Moreover, when the number of parameters to be optimized is large, conventional technique for optimization is certainly not preferred one.…”

“…The gain values of PI controller are chosen by trial and error method. In [5] the conventional PI controller has traditionally been tuned by the method described in Ziegler and Nichols. The controller gains once tuned for a given operating point are only suitable for limited operating point changes.…”

ACO based speed control of SRM fed by photovoltaic system

“…Fuzzy Logic Control (FLC) [5][6][7][8][9][10], Artificial Neural Network (ANN) [11,12], robust controller [13], and adaptive controller [14] have been employed to solve the problem of speed control of SRM. Moreover, optimization techniques like Genetic Algorithm (GA) [15], Particle Swarm Optimization (PSO) [16][17][18], Bacteria Foraging [19][20][21][22][23] and BAT algorithm [24] have attracted the attention in designing controller and speed control of various motors.…”

A Robust Method of Tuning a Decentralized Proportional-Integral Load Frequency Controller in a Deregulated Environment Using Genetic Algorithms

“…LFC in a deregulated environment is dealt with a simple model by Feliachi [9]. Comparison between a fuzzy gain scheduled, GA-tuned, and a conventional PI controller is done in [10,11]. Khodabakhshian and Edrisi [12] presented a new robust proportional integral derivative (PID) control for multi-machine power systems.…”