Supervisory Genetic Algorithm Control for Linear Ultrasonic Motor Drive

This study presents a supervisory genetic algorithm (SGA) control system for a linear ultrasonic motor (LUSM) driven by a two-inductance two-capacitance (LLCC) resonant driving circuit. First, the motor configuration and driving circuit of an LUSM are introduced, and its hypothetical dynamic model is described briefly. Since the dynamic characteristics and motor parameters of the LUSM are highly nonlinear and time varying, an SGA control system is therefore investigated to achieve high-precision position control. The proposed SGA control system is composed of two parts. One is a genetic algorithm (GA) control and the other is a supervisory control. The effectiveness of the proposed control system is verified with hardware experiments under the occurrence of uncertainties.