Optimal energy control of induction motor by hybridization of loss model controller based on Particle Swarm Optimization and search controller

This paper presents simulation studies on the optimal energy control of an inverter-fed three-phase induction motor (1 hp). An overview of various controllers: loss model controller, search controller and their hybridization are given. Induction motor parameter variations due to temperature rise and core saturation are considered when loss models are derived. Mine hoist drive of a mineral industry and the implementation of efficiency optimization controllers with the help of particle swarm optimization (PSO) and fuzzy logic are given. Fuzzy pre-compensated proportional integral (FPPI) is used to improve motor's dynamic performances during the activation of optimal energy control. Analysis shows that it is possible to conserve energy in Indian industries by choosing several possible ways of implementing optimal energy control.