Total sliding-mode-based genetic algorithm for linear piezoelectric ceramic motor drive

This study presents a total sliding-mode-based genetic algorithm control (TSGAC) system for a linear piezoelectric ceramic motor (LPCIM) driven by a newly designed hybrid resonant inverter. In the hybrid resonant drive system, it has the merits of the high voltage gain from a parallel-resonant current source, and the invariant output characteristic from a two-inductance two-capacitance (LLCC) resonant driving circuit. Since the dynamic characteristics and motor parameters of the LPCM are highly nonlinear and time varying, a TSGAC system is therefore investigated based on direction-based genetic algorithm with the spirit of total sliding-mode control (TSC) and fuzzy evolutionary procedure to achieve high-precision position control. In this control scheme, a genetic algorithm control system is utilized to be the major controller, and the stability can be indirectly ensured by the concept of TSC without strict constraint and detailed system knowledge. In addition, the effectiveness of the proposed drive and control system is verified by experimental results in the presence of uncertainties.