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Application of Salp Swarm Optimization for PI Controller to Mitigate Transients in a Three-Phase Soft Starter-Based Induction Motor

2020; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-981-15-5262-5_46

1876-1119

Monalisa Mohanty, Sanjay Kumar Sahu, Manas Ranjan Nayak, Anshuman Satpathy, Subhashree Choudhury,

Electric Motor Design and Analysis

Induction motor (IM) has wide applications in both domestic and industrial appliances. However, the major drawback of IM is the occurrence of heavy inrush current at starting mostly due to switching on of a high inertial load. So, it is necessary to control this inrush current which may interrupt the smooth functioning of the system. A soft starter is a solid-state device that limits the sudden surge of current and gives a gradual build-up to full speed. Proportional integral (PI)-based soft starter is a classical and linear one, so it fails to response to changing speed of the motor. So in this paper, a new heuristic salp swarm optimization (SSWO) technique is proposed which dynamically tunes the PI control parameters to respond correctly to the nonlinear nature of IM. SSWO is a nature-inspired meta-heuristic algorithm that imitates the swarming behaviour of salps when navigating and foraging in ocean. The SSWO-tuned PI-controlled IM model along with a thyristor-based soft starter (SS) is designed using MATLAB/Simulink software and simulated to obtain minimum overshoot, rated current during the starting of the motor, a controlled voltage supply and a steady speed. Further, the distortion of the system with proposed SSWO-based PI and conventional PI controller is discussed through the total harmonic distortion (THD) calculation.