Fuzzy Sliding Mode Speed Controller for PM Synchronous Motors With a Load Torque Observer

• Published in: IEEE transactions on power electronics Vol. 27; no. 3; pp. 1530 - 1539
• Main Authors: Leu, Viet Quoc, Choi, Han Ho, Jung, Jin-Woo
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-03-2012; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Control algorithms; Effectiveness; Electrical engineering. Electrical power engineering; Electrical machines; Electronics; Exact sciences and technology; Fuzzy control; Fuzzy logic; Integrated circuits; Integrated circuits by function (including memories and processors); linear matrix inequality (LMI); Load modeling; load torque observer; Miscellaneous; Observers; permanent magnet synchronous motor (PMSM); Regulation and control; Rotors; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Simulation; sliding mode control (SMC); speed control; Stators; Switches; Testing. Reliability. Quality control; Torque; Uncertainty; Performance evaluation; sliding mode control (SMC); load torque observer; Sliding mode; Stabilization; Non linear phenomenon; Implementation; Synchronous motor; Fuzzy control; Permanent magnet machine; Floating point; Control method; Speed control; Synchronous machine; Torque regulation; permanent magnet synchronous motor (PMSM); Control system; Permanent magnet motors; linear matrix inequality (LMI); Experimental study; Algorithm; Robust control; Integrated circuit; Nonlinearity; System simulation; Non linear effect; Digital signal processor
• ISSN: 0885-8993; 1941-0107
• DOI: 10.1109/TPEL.2011.2161488

This paper investigates the robust stabilization problem of a permanent magnet synchronous motor (PMSM). A fuzzy sliding mode speed controller with a load torque observer is designed, which can effectively mitigate chattering and guarantee robust speed control of a PMSM under model parameter and load torque variations. Furthermore, the proposed control method considers the disturbance inputs representing the system nonlinearity or the unmodeled uncertainty. The proposed control algorithm is implemented using a TMS320F28335 floating point DSP. Finally, simulation and experimental results are presented to validate the effectiveness of the proposed scheme.