Speed control for IPMSM using an adaptive integral binary observer

This paper presents a sensorless speed control of interior permanent magnet synchronous motors using an adaptive integral binary observer that PI gains of the system are fixed. To overcome the error due to fixed PI gain, the output currents of the observer are precisely adjusted by a fuzzy rule based system, which is a logical model of the human behavior for process control. In order to improve the steady state performance of the binary observer, the binary observer is formed by adding extra integral dynamic to the switching hyperplane equation. Furthermore, the Lyapunov function can be used to discriminate the rotor speed and control the stability of the estimated rotor speed. Effectiveness of algorithm is confirmed by the experiments.