Title :
Passivity-based adaptive sliding-mode speed control for IPMSM drive systems
Author :
Jen-te Yu ; Cheng-Kai Lin ; Li-Chen Fu ; Tian-Hua Liu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
June 29 2011-July 1 2011
Abstract :
A passivity-based adaptive sliding-mode control is proposed for speed tracking of interior permanent magnet synchronous motor drive systems. Firstly, a nonlinear model of the IPMSM is given with uncertainties embeded. Through adaptive feedback passivation design, the closed-loop system is shown to be feedback equivalent to a strictly passive system with a designated input. The unknown system parameters are dealt with by designed adaptation laws in parallel with the design of the controller. Maximum torque per ampere condition is met through the design of d- and q-axis currents, which serve as the inputs to the motor. Asymptotic stability of closed loop system is proven by passivity theorem and Barbalat´s lemma. Simulation results show good speed tracking response and good performance.
Keywords :
adaptive control; asymptotic stability; closed loop systems; control system synthesis; feedback; machine control; nonlinear control systems; permanent magnet motors; synchronous motor drives; tracking; variable structure systems; Barbalat lemma; IPMSM drive system; adaptation law; adaptive feedback passivation design; asymptotic stability; closed-loop system; controller design; d-axis current; interior permanent magnet synchronous motor drive system; maximum torque per ampere condition; nonlinear model; passivity theorem; passivity-based adaptive sliding-mode speed control; q-axis current; speed tracking response; unknown system parameters; Adaptive systems; Equations; Mathematical model; Simulation; Sliding mode control; Torque; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991558