MTPA control of mechanical sensorless IPMSM based on adaptive nonlinear control. (March 2016)

• Record Type: Journal Article
• Authors: Najjar-Khodabakhsh, Abbas; Soltani, Jafar
• Is Part Of: ISA transactions. Volume 61(2016:Mar.)
• Page Start: 348
• Page End: 356
• Publication Date: 2016-03
• Subjects: Permanent magnet motors -- Maximum torque per ampere -- Sensorless control -- Adaptive control; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2016.01.004
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: In this paper, an adaptive nonlinear control scheme has been proposed for implementing maximum torque per ampere (MTPA) control strategy corresponding to interior permanent magnet synchronous motor (IPMSM) drive. This control scheme is developed in the rotor d–q axis reference frame using adaptive input–output state feedback linearization (AIOFL) method. The drive system control stability is supported by Lyapunov theory. The motor inductances are online estimated by an estimation law obtained by AIOFL. The estimation errors of these parameters are proved to be asymptotically converged to zero. Based on minimizing the motor current amplitude, the MTPA control strategy is performed by using the nonlinear optimization technique while considering the online reference torque. The motor reference torque is generated by a conventional rotor speed PI controller. By performing MTPA control strategy, the generated online motor d–q reference currents were used in AIOFL controller to obtain the SV-PWM reference voltages and the online estimation of the motor d–q inductances. In addition, the stator resistance is online estimated using a conventional PI controller. Moreover, the rotor position is detected using the online estimation of the stator flux and online estimation of the motor q -axis inductance. Simulation and experimental results obtained prove the effectiveness and the capability of the proposed control method. Highlights: AIOFL control method is employed for IPMSM based on the MTPA strategy. The motor inductances are on-line estimated by estimation law. The drive system control stability is proved by Lyapunov theory. The MTPA control strategy is performed by using the nonlinear optimization technique. The rotor position is detected using the online estimation of the stator flux and the motor q -axis inductance.