Parameter estimation for PID controller using modified gravitational search algorithm

Abstract

This paper focuses on the Gravitational Search Algorithm (GSA) which depends on the law of gravity and law of motion. GSA lacks the exploitation property. To improve the exploitation skill, efficiency, and accuracy of GSA, a modified GSA (MGSA) is proposed. The proposed algorithm keeps up a suitable stability between the exploitation and exploration skills of GSA by using an intelligence factor (IF). The MGSA is applied to speed control problem of an induction motor system. Simulations results showed that the modified GSA performs better than GSA and Adaptive Tabu Search (ATS) in terms of computational time and closed-loop response.