Abstract
This study considers the problem of designing a PI-type PMSM (permanent magnet synchronous motor) controller, which can prevent excessive temperature rise in the rotor. The problem was formulated as a nonlinear optimization problem, considering that the flux linkage of a PMSM depends on the rotor temperature value and can be estimated using the voltage input value. This study proposes a design procedure for solving the nonlinear optimization problem using the particle swarm optimization (PSO) algorithm, a metaheuristic search algorithm. Simulation studies using a practical PMSM model verified that the design problem can be successfully solved using a metaheuristic search algorithm.
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