TUNING PID CONTROLLER BASES ON CHEMICAL REACTION OPTIMIZATION ALGORITHM

Tóm tắt

Chemical Reaction Optimization (CRO) algorithm plays an important role to determine optimal parameters of PID controller in which the model of DC motor is used as a plant. Tuning PID controller using the traditional ZieglerNichols (ZN) method usually produces large overshoot and Integral time absolute error, Integral absolute error and Integral square error performance indices. Therefore, recently researchers have applied random search approaches such as Genetic algorithm (GA), Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO) to find optimal parameters for PID controller. Among modern heuristic algorithms, CRO was introduced in 2010, it combined advantage features of both GA and Simulated Annealing (SA) to find global minimum in search space. In this paper, we describe the application of CRO algorithm to search optimal parameters for PID controller because CRO combines both features of local and global searching techniques to increase the chance of finding global solution. The comparison of tuning PID controller by CRO and traditional Ziegler-Nichols method is also presented. The simulated results show the advantages of tuning PID using CRO compared to traditional methods in terms of performance indices and transient responses