Robust nonlinear observer design for permanent magnet synchronous motors

Pyrkin, Anton A.; Bobtsov, Alexey A.; Vedyakov, Alexey A.; Cherginets, Dmitry; Ovcharov, Alexey; Bazylev, Dmitry; Petranevsky, Igor V.

doi:10.1049/cth2.12065

Cited by 4 publications

(3 citation statements)

References 20 publications

(44 reference statements)

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“…Therefore, many advanced nonlinear control topologies have been developed in recent years to progress the speed regulation performance of PMSM motors in different applications. These methods include neural network control [18], backstepping control [19], automatic disturbance rejection control [20], fuzzy logic control (FLC) [21], predictive control [5], artificial intelligence-incorporated control [22], sliding mode control (SMC) [23], adaptive control [24], variable structure control (VSC) [25], predictive current control (PCC) [20], disturbance observer (DOB) [26], and extended state observer (ESO) [27,28]. Furthermore, for the speed regulation of the PMSM, as alternative to the conventional PI control method, H∞ control is in operational use.…”

Section: Introductionmentioning

confidence: 99%

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

2022

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The permanent magnet synchronous motor (PMSM) is a highly efficient energy saving machine. Due to its simple structural characteristics, good heat radiation capability, and high efficiency, PMSMs are gradually replacing AC induction motors in many industrial applications. The PMSM has a nonlinear system and lies on parameters that differ over time with complex high-class dynamics. To achieve the excessive performance operation of a PMSM, it essentially needs a speed controller for providing accurate speed tracking, slight overshoot, and robust disturbance repulsion. Therefore, this article provides an overview of different robust control techniques for PMSMs and reviews the implementation of a speed controller. In view of the uncertainty factors, such as parameter perturbation and load disturbance, the H∞ robust control strategy is mainly reviewed based on the traditional control techniques, i.e., robust H∞ sliding mode controller (SMC), and H∞ robust current controller based on Hamilton–Jacobi Inequality (HJI) theory. Based on comparative analysis, this review simplifies the development trend of different control technologies used for a PMSM speed regulation system.

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Section: Introductionmentioning

confidence: 99%

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

2022

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“…In the past few decades, nonlinear filtering or state estimation has been extensively studied and successfully applied in a number of research fields, such as navigation systems and tracking systems. The main purpose of the filtering problem is to obtain the optimal (or suboptimal) estimations of system states or their linear combinations based on system outputs with measurement noises (Fang et al, 2018; Niu et al, 2021; Novara et al, 2013; Pyrkin et al, 2020). A number of effective filtering algorithms have been proposed for nonlinear systems, among which several widely used include but not limited to Bayesian filter (Geng et al, 2021a), extended Kalman filter (EKF; Kowsari and Safarinejadian, 2017; Ljung, 1979), unscented Kalman filter (UKF; Julier et al, 2000; Sheng et al, 2021; Tehrani et al, 2019), as well as particle filter (PF; Arulampalam et al, 2002; He et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Federated strong tracking filtering for nonlinear systems with multiple sensors

Liu

Gao

Huai

et al. 2022

Transactions of the Institute of Measurement and Control

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In this paper, the filtering problem is investigated for nonlinear systems with multiple sensors. A federated strong tracking filter is designed to track state mutations by making full use of limited sensor information. Several subsystems are composed of different sensor combinations, and their states are independently estimated by using local filters in parallel. The strong tracking filter, as local filters, adaptively adjusts gain matrices of filters by introducing fading factors to track state mutations timely. Based on the theory of boundedness and inequality technique, the fusion estimation error is proved to be exponentially bounded in mean square. Finally, the feasibility and effectiveness of the proposed method is demonstrated by an experiment concerning the rotary steering drilling tool system.

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“…Actually, it is difficult to measure both velocity and load torque because of space and/or cost limitations. Thus, several observers were proposed to estimate the state variables for the PMSM [18][19][20][21]. However, these methods did not consider the load torque or were complex for the implementation for the PMSM.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Optimal Position Control with Observer for Position Tracking of Surfaced Mounded Permanent Magnet Synchronous Motors

Kim

2021

Applied Sciences

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Previous control methods were designed based on cascade structure and consist of position and current controllers for permanent magnet-synchronous motors (PMSMs). Thus, the structures of the previous methods are necessarily complex although the stability is guaranteed. Thus, the gain tuning is difficult to obtain for the desired control performance for the PMSMs. To overcome this problem, this paper proposes a nonlinear optimal position control method with an observer to improve the position tracking performance of PMSMs. The proposed method consists of a desired state generator, controller, and nonlinear observer. The desired states and inputs are derived using the PMSM model. Then, the state feedback controller is designed based on the whole tracking error dynamics including both mechanical and electrical dynamics. The nonlinear observer is designed to estimate the velocity and load torque. The closed-loop stability is proven using the input-to-state stability. The proposed method is not designed based on the cascade structure. Furthermore, the control and observer gains are chosen using an optimal control method to obtain the desired performance for the PMSMs. This approach simplifies the design process such that the control algorithm is suitable for real-time control. The performance of the proposed method is validated via simulations and experiments.

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Robust nonlinear observer design for permanent magnet synchronous motors

Cited by 4 publications

References 20 publications

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

Federated strong tracking filtering for nonlinear systems with multiple sensors

Nonlinear Optimal Position Control with Observer for Position Tracking of Surfaced Mounded Permanent Magnet Synchronous Motors

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