Improved Sliding-mode Observer for Sensorless Control of High Speed Permanent Magnet Synchronous Motor

Wang, Bo; Zhang, Yan; Liu, Shuai; Jin, Wuhen

doi:10.23919/icems50442.2020.9290794

Cited by 7 publications

(1 citation statement)

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“…An approach to reduce chattering is by avoiding the use of the sign function. Jin et al (2020b) introduced the idea of a boundary layer and used a saturation function as a substitute for the sign function in the controller. Xu et al (2021) proposed replacing the sign function with a hyperbolic tangent function.…”

Section: Introductionmentioning

confidence: 99%

An improved sliding mode speed controller for PMSM based on new terminal reaching law with generalized proportional integral observer

Xu,

Sun,

et al. 2024

Transactions of the Institute of Measurement and Control

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A compound sliding mode controller for permanent magnet synchronous motor (PMSM) based on an adaptive terminal sliding mode reaching law with generalized proportional integral observer is proposed. First, an adaptive terminal reaching law is proposed to solve the defects of large chattering in commonly used sliding mode control, which consists of a piecewise function and a terminal term of state variables. The reaching law could adjust the gain according to the distance between the system state and the equilibrium point. On the premise of reducing chattering, a higher reaching speed is guaranteed. The convergence time has an upper bound and is not concerned with the initial value of the sliding mode variable. Based on the reaching law, an adaptive sliding mode controller is established. Second, to reduce the sliding mode gain and enhance the antidisturbance ability of the PMSM, a generalized proportional integral observer is established to evaluate the perturbations in PMSM and compensate them to the speed controller in real time. Simulations and experiments verify that the new compound control method has a faster-approaching speed, smaller chattering, and stronger antidisturbance ability than other methods.

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Section: Introductionmentioning

confidence: 99%