Disturbance decoupling control of voice coil motors for precise automated manufacturing processes

In this paper, a controller design of a voice coil motor (VCM) with enhanced disturbance input decoupling performance, especially for precise automated manufacturing processes, is proposed. To enhance the force control accuracy, a disturbance state filter for force control is applied to estimate and compensate for the varying dynamics of VCM systems, such as nonlinearly variable loads and other uncertainties. The state filter estimation accuracy in the presence of system parameter errors is fully analyzed. In addition, the proposed disturbance decoupling method is computationally efficient and robust to other parameter errors. The proposed algorithm is implemented in a developed VCM actuator and verified to be appropriate for a VCM drive system with unknown disturbances.