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Design of optimal PID controller using hybrid differential evolution and particle swarm optimization with an aging leader and challengers
Affiliation:1. Department of Electrical Engineering, National Institute of Technology, Warangal 506004, India;2. Department of Electronics and Communications Engineering, National Institute of Technology, Warangal 506004, India;3. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, USA;4. IT4Innovations,VSB – Technical University of Ostrava, Czech Republic;1. Taibah university, College of computer science and Engineering in Yanbu, Madinah, Saudi Arabia;2. Mansoura university, Computer Engineering and control systems Dept., Faculty of Engineering, Egypt;1. School of Electrical Engineering, University of Belgrade, 73 Kralja Aleksandra, Belgrade 11000, Serbia;2. Automation and Control Department, Electrical Institute “Nikola Tesla”, University of Belgrade, 8a Koste Glavini?a, Belgrade 11000, Serbia
Abstract:This paper presents a new algorithm designed to find the optimal parameters of PID controller. The proposed algorithm is based on hybridizing between differential evolution (DE) and Particle Swarm Optimization with an aging leader and challengers (ALC-PSO) algorithms. The proposed algorithm (ALC-PSODE) is tested on twelve benchmark functions to confirm its performance. It is found that it can get better solution quality, higher success rate in finding the solution and yields in avoiding unstable convergence. Also, ALC-PSODE is used to tune PID controller in three tanks liquid level system which is a typical nonlinear control system. Compared to different PSO variants, genetic algorithm (GA), differential evolution (DE) and Ziegler–Nichols method; the proposed algorithm achieve the best results with least standard deviation for different swarm size. These results show that ALC-PSODE is more robust and efficient while keeping fast convergence.
Keywords:Aging  Differential evolution (DE)  Particle swarm optimization (PSO)  PID controller  Three tanks liquid level system
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