Title :
Adaptive sliding mode speed control of surface permanent magnet synchronous motor using input-output feedback linearization
Author :
Fazeli, Sayed Mahdi ; Zarchi, Hossein Abootorabi ; Soltani, Jafar ; Ping, Hew Wooi
Author_Institution :
Univ. of Malaya, Kuala Lumpur
Abstract :
A nonlinear adaptive robust speed tracking controller is presented for a three-phase surface permanent magnet synchronous motor (SPSMS) considering the control strategy of maximum torque control (MTC) related to this motor. Ignoring the motor iron losses, the proposed controller is designed based on combination of input-output feedback linearization (IOFL) control and adaptive sliding mode technique. The proposed adaptive sliding mode controller estimates the unknown uncertainties without using sign(.) or sat(.) function. Hence, it reduces chattering or steady state error phenomenon. In addition, in order to make the drive system control robust to load torque disturbance, the stator current reference signal is predicted by another adaptive sliding mode controller that has a low sliding mode chattering. Finally, the effectiveness and feasibility of the proposed control approach is demonstrated by computer simulation. The results obtained confirm that the desired speed reference command is perfectly tracked in spite of motor parameter uncertainties and load torque disturbance.
Keywords :
adaptive control; control system synthesis; machine vector control; permanent magnet motors; synchronous motor drives; torque control; variable structure systems; velocity control; MTC; SPSMS; adaptive sliding mode speed control; controller design; drive system control; input-output feedback linearization; maximum torque control; stator current reference signal; steady state error phenomenon; surface permanent magnet synchronous motor; unknown uncertainty estimation; Adaptive control; Control systems; Linear feedback control systems; Permanent magnet motors; Programmable control; Robust control; Sliding mode control; Synchronous motors; Torque control; Velocity control;
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4