Intelligent speed control of interior permanent magnet synchronous motors

Abstract

Precise control of the permanent magnet synchronous motor over wide speed range is an engineering challenge. This paper considers the design and implementation of two novel techniques of speed control for an interior permanent magnet synchronous motor using hybrid current and artificial neural network controllers. The intelligent hybrid controller which is a combination of the hysteresis current controller for high speed operation and a ramp comparator for low speed operation is proposed. The switching between the two modes is conveniently enabled in software. This hybrid method is compared with the artificial neural network based speed control scheme incorporating the on-line weights and biases updating as well as adaptive learning rate features in software command. Systematic mathematical formulations are given. An implementation schematic using the digital signal processor board DS1102 is presented. Complete control systems have been implemented using current-controlled three-phase PWM voltage source inverter for a laboratory 1 hp interior rotor permanent magnet motor. The experimental results validate the theoretically simulated speed responses under different dynamic operating conditions.