Simplified Optimum Intelligent PID (SOI-PID) controller for servo Permanent Magnet Synchronous Motor
This paper implements a novel Simplified Optimum Intelligent PID controller for servo permanent magnet synchronous motor (SPMSM). An algorithm is proposed to solve the optimization problem of controller parameters in the design of a permanent magnet synchronous motor servo system. The proposed method updates the Simplified optimum intelligent PID (SOI-PID) controller gains in an online manner to drive the SPMSM with better speed response during variable load and parameter uncertainty occurrence. A comparative analysis in real-time implementation of the SPMSM with SOI-PID and interval type-2 fuzzy self-tuning (IT2FST) controllers under the influence of parameter uncertainties and external load disturbances has been carried out. The real-time practical implementation results illustrated that the proposed SOI-PID controller gives a better speed performance and control system parameters of the SPMSM.