A Strongly Robust and Easy-Tuned Current Controller for PMSM Considering Parameters Variation

Abstract

This paper proposes an improved internal-model-control (IMC)-based proportional-integral (PI) current controller for a permanent magnet synchronous motor (PMSM) drive system to solve the parameter dependence problem. The parameter sensitivity of the conventional IMC-based PI controller is analyzed, which indicates that the parameters mismatch would cause oscillation or overshoot. Therefore, this paper utilizes an uncertainty and disturbance estimator to eliminate the impact of the parameters mismatch disturbance caused by the parameters variation. The proposed controller includes an IMC-based PI controller, which is responsible for tracking, and a disturbance estimator, which deals with other control difficulties. The performance and robustness are easily achieved by separately tuning the only two parameters (the desired closed-loop bandwidth and the estimator bandwidth). The frequency-domain characteristic of the proposed current controller indicates that it can effectively suppress the parameters mismatch disturbance. Simulations and experiments have verified the effectiveness of the proposed method.

Adaptive Decoupling Control Using Radial Basis Function Neural Network for Permanent Magnet Synchronous Motor Considering Uncertain and Time-Varying Parameters

“…Meanwhile, in (8), −ω eLq i q and ω eLd i d + ω eψf are decoupling terms, and they are utilized to reduce the effects of the dynamic coupling and back EMF on the system. Additionally, based on (6) and 9, we can find that…”

“…Thus, V is bounded. Meanwhile, according to (6) and the boundedness of k id and k iq , e d , e q , θ d , and θ q are bounded too.…”

“…Furthermore, with the changes of the temperature, load current, and working condition, motor parameters including stator resistance (R s ), stator inductance of the d-loop (L d ), stator inductance of The associate editor coordinating the review of this manuscript and approving it for publication was Wei Xu . the q-loop (L q ), and magnet flux linkage (ψ f ) are uncertain and time-varying [6]. The dynamic coupling terms, back EMF term, and uncertain and time-varying motor parameters inevitably lead to the poor system performance of large torque fluctuation, large current fluctuation, slow torque response, and slow current response, especially when the PMSM is operated in the high speed condition, and the torque and speed are changed rapidly.…”

An improved current decoupling method of IPMSM for fast dynamic behavior

“…However, the decoupling effect is easily affected by the parameters. In [13,14,15], the internal model control (IMC) is presented to improve the response of current loop, the accurate mathematical method of PMSM is still the core of the IMC. Blanco firstly adopts the complex vector decoupling model (CVDM) to deal with the cross-coupling in current loops [16,17].…”

Improved Deadbeat Predictive Current Control of Permanent Magnet Synchronous Motor Using a Novel Stator Current and Disturbance Observer

“…Scholars have proposed many control methods to achieve precise and fast current dynamic response control. The commonly used current control algorithms are the proportional-integral (PI) control [1][2][3][4] and model predictive control (MPC) [5][6][7][8][9].…”