Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization |
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| Authors: | S Panda BK Sahu PK Mohanty |
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| Institution: | 1. Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla 768018, Odisha, India;2. Department of Electrical Engineering, Institute of Technical Education and Research (ITER), SOA University, Bhubaneswar 751030, Odisha, India;1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;2. Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 2002 40, China;3. Institute of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;1. Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago de Chile, Chile;2. Advanced Mining Technology Center, Av. Tupper 2007, Santiago de Chile, Chile;1. Department of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran;2. Centre of Excellence for Power System Automation and Operation, Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran;1. Department of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, 325035, China;2. College of Information Engineering, Shenzhen University, Shenzhen, 518060, China;1. Centre for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India;2. Department of Power Engineering, Jadavpur University, Salt Lake Campus, LB-8, Sector 3, Kolkata 700 098, India;3. Communications, Signal Processing and Control Group, School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, United Kingdom |
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| Abstract: | This paper presents the design and performance analysis of Proportional Integral Derivate (PID) controller for an Automatic Voltage Regulator (AVR) system using recently proposed simplified Particle Swarm Optimization (PSO) also called Many Optimizing Liaisons (MOL) algorithm. MOL simplifies the original PSO by randomly choosing the particle to update, instead of iterating over the entire swarm thus eliminating the particles best known position and making it easier to tune the behavioral parameters. The design problem of the proposed PID controller is formulated as an optimization problem and MOL algorithm is employed to search for the optimal controller parameters. For the performance analysis, different analysis methods such as transient response analysis, root locus analysis and bode analysis are performed. The superiority of the proposed approach is shown by comparing the results with some recently published modern heuristic optimization algorithms such as Artificial Bee Colony (ABC) algorithm, Particle Swarm Optimization (PSO) algorithm and Differential Evolution (DE) algorithm. Further, robustness analysis of the AVR system tuned by MOL algorithm is performed by varying the time constants of amplifier, exciter, generator and sensor in the range of ?50% to +50% in steps of 25%. The analysis results reveal that the proposed MOL based PID controller for the AVR system performs better than the other similar recently reported population based optimization algorithms. |
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