Optimum setting of PID controllers based on using evolutionary programming algorithm

Abstract This paper is concerned with the optimum setting problem for deriving gains in proportional‐integral‐derivative (PID) controllers. The evolutionary programming (EP) algorithm has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. Therefore, in this paper, we attempt to use the EP algorithm in PID control systems design for deriving optimal or near optimal PID control gains such that a performance index of integratedabsolute error (IAE) is minimized. It can be easily seen from the simulation results that the proposed method will have better performance than those presented in other studies by testing a fourth‐order system with time delay.

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