Chaotic-Moth-Flame-Algorithm Based Scheme to Design PID Controller for Benchmark AVR

In automated control systems that desire a controlled outcome, an optimal controller design is essential. This study proposes a PID controller design for a benchmark Automatic Voltage Regulator (AVR) system with an optimal control setting. In the proposed work, the Moth-Flame-Optimization (MFO) algorithm is used to identify the controller parameters (Kp, Ki, Kd) in three dimensions. An improved MFO search performance is achieved using the chaotic Lorenz map, as well as an improved multiple-objective function (CMFO) is proposed in order to optimize the proposed work. The PID controller design for the AVR is optimized by using a multiple-objective function. Based on the search time required and the result of the closed-loop AVR system, the performance of the proposed CMFO is confirmed based on the validation of the attained result by the CMFO against TMFO, Firefly-Algorithm (FA), and Bat-Algorithm (BA). A traditional as well as a modified PID controller structure was utilized in the implementation of this work, and the results of the study confirm that the proposed work helped to achieve a satisfactory result when compared to the alternatives.