Compensation control of blade precision polishing servo system based on disturbance observer

With the improvement of blade profile dimensional precision and surface quality, higher requirement is put forward for the performance of CNC polishing servo system. According to the influence of nonlinear friction and parameter perturbation on the positioning and tracking precision of the CNC polishing servo system, a particle swarm optimization fuzzy PID (PFPID) control method based on disturbance observer was proposed. This method could predict nonlinear friction, parameter perturbation and other interference in the servo system by constructing a disturbance observer, and the equivalent compensation was introduced to suppress the interference. Simultaneously, the particle swarm optimization algorithm was used to adjust the quantization factor and proportional factor of the fuzzy controller, and then the fuzzy controller was used to tune the PID control parameters adaptively. Simulation analysis and experimental results show that with such advantages as high control precision, strong robustness and great interference suppression ability, the PFPID controller based on disturbance observer can improve blade profile dimensional precision and surface consistent, reduce surface roughness, decrease residual stress and improve polishing efficiency.