access icon openaccess Accurate torque-sensorless control approach for interior permanent-magnet synchronous machine based on cascaded sliding mode observer

To improve the accuracy of torque control for vector control of interior permanent-magnet synchronous machine (IPMSM), this study proposes a torque-sensorless control method based on cascaded sliding mode observer (SMO). First, the active flux model is discussed, which converts the model of IPMSM into the equivalent model of surface-mounted permanent-magnet synchronous machine. Second, to reduce chattering caused by system parameters variations and external disturbances, the cascaded observer is designed, which is composed of a variable gain adaptive SMO and an active flux SMO. The variable gain adaptive SMO is designed to estimate the speed, rotor position and stator resistance in the dq reference frame. The active flux SMO is designed to estimate the active flux and torque in the αβ reference frame. Global asymptotic stability of the observers is guaranteed by the Lyapunov stability analysis. Finally, simulations and experiments are carried out to verify the effectiveness of the proposed control scheme.

Inspec keywords: control system synthesis; rotors; control nonlinearities; variable structure systems; electric resistance; synchronous machines; nonlinear control systems; sensorless machine control; cascade control; stators; Lyapunov methods; permanent magnet machines; torque control; observers; machine vector control; asymptotic stability

Other keywords: cascaded observer design; stator resistance; variable gain adaptive SMO; speed estimation; Lyapunov stability analysis; vector control; system parameters variations; external disturbances; d–q reference frame; α–β reference frame; rotor position estimation; surface-mounted permanent-magnet synchronous machine; interior permanent-magnet synchronous machine; IPMSM model; torque-sensorless control; active flux SMO; chattering reduction; cascaded sliding mode observer; global asymptotic stability; cascaded SMO

Subjects: Simulation, modelling and identification; Multivariable control systems; Nonlinear control systems; Control system analysis and synthesis methods; Mechanical variables control; Stability in control theory; Control of electric power systems; Synchronous machines

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http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2017.0160
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