Journal Article10.1109/TIE.2021.3051594
Speed-Current Single-Loop Control With Overcurrent Protection for PMSM Based on Time-Varying Nonlinear Disturbance Observer
Wang Yao,Haitao Yu,Yulei Liu +2 more
94
TL;DR: A speed-current single-loop control with q-axis current constrained based on time-varying second-order nonlinear disturbance observer is constructed by a novel finite-time controller for speed regulation of the PMSM system, which can balance well between the overcurrent protection and dynamic performance.
read more
Abstract: A novel finite-time control with q -axis current constrained based on time-varying second-order nonlinear disturbance observer is investigated to improve the performance of overcurrent protection and disturbance rejection for permanent magnet synchronous motor (PMSM) system. In general, the hardware could be damaged by a large transient current for achieving high-precision tracking performance when PMSM starts up. To this end, a speed-current single-loop control with q-axis current constrained is constructed by a novel finite-time controller for speed regulation of the PMSM system, which can balance well between the overcurrent protection and dynamic performance. The estimated peak generated by the high gain to ensure a precise accuracy will be integrated into the control system at the initial moment in the traditional nonlinear disturbance observer. Taking this into account, parameter uncertainties, nonmodeled dynamics, and estimated peak at the initial moment of the PMSM system are estimated by a time-varying second-order nonlinear disturbance observer. Finally, rigorous stability analysis is established for the proposed composite strategy. Comparative simulations and experiments are designed on proportion integration differentiation, sliding mode control (SMC), and the proposed method. Results demonstrate that the proposed method has better robustness and overcurrent protection property.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Deep Learning-Based Long-Horizon MPC: Robust, High Performing, and Computationally Efficient Control for PMSM Drives
TL;DR: In this paper , a computationally efficient and high performing approximate long-horizon model predictive control (MPC) for permanent magnet synchronous motors (PMSMs) is presented.
51
An Adaptive Active Disturbance Rejection Control Strategy for Speed-Sensorless Induction Motor Drives
Yun Zuo,Xinglai Ge,Yuelei Zheng,Yue-Ming Chen,Huimin Wang,Abebe Teklu Woldegiorgis +5 more
- 01 Sep 2022
TL;DR: In this article , an adaptive active disturbance rejection control (ADRC) strategy is proposed for speed-sensorless induction motor drives in which a third-order adaptive ESO (AESO) is first used to estimate the speed, the phase, and the overall disturbance.
41
An Enhanced Linear Active Disturbance Rejection Controller for High Performance PMBLDCM Drive Considering Iron Loss
Prashant Kumar,Abdul R. Beig,Devara Vijaya Bhaskar,Khaled Al Jaafari,Utkal Ranjan Muduli,Ranjan Kumar Behera +5 more
TL;DR: The ADRC current controller considering the iron loss effect is proposed along with an estimation of the back electromagnetic force disturbance used for the position/speed estimation, which incorporates a structured inner and outer closed-loop ADRC that considers process delays and extended state observer dynamics.
40
A Simplified Virtual-Vector-Based Model Predictive Control Technique With a Control Factor for Three-Phase SPMSM Drives
TL;DR: In this paper , a simplified virtual-vector-based MPC with a control factor for a three-phase surface permanent magnet synchronous motor (SPMSM) is proposed, which utilizes the control factor to automatically generate a large number of virtual vectors to achieve equivalent performance effectiveness with a multiple-vector based MPC technique with a lower sampling frequency.
35
Deep Learning-Based Long-Horizon MPC: Robust, High Performing, and Computationally Efficient Control for PMSM Drives
Mohammad Abu-Ali,Felix Berkel,Maximilian Manderla,Sven Reimann,Ralph Kennel,Mohamed Taha Abdelrahem +5 more
TL;DR: In this paper , a computationally efficient and high performing approximate long-horizon model predictive control (MPC) for permanent magnet synchronous motors (PMSMs) is presented.
30
References
Homogeneous Lyapunov function for homogeneous continuous vector field
TL;DR: In this article, a construction of a homogeneous Lyapunov function P associated with a system of differential equations J = f(x), x ~ R ~ (n > 1), under the hypotheses: (1) f ~ C(R n, ~) vanishes at x = 0 and is homogeneous; (2) the zero solution of this system is locally asymptotically stable.
828
Nonlinear Speed Control for PMSM System Using Sliding-Mode Control and Disturbance Compensation Techniques
TL;DR: In this article, a sliding-mode control method based on one novel slidingmode reaching law (SMRL) is presented, which allows chattering reduction on control input while maintaining high tracking performance of the controller.
687
Disturbance/Uncertainty Estimation and Attenuation Techniques in PMSM Drives—A Survey
TL;DR: When dealing with uncertainties, it is shown that DUEA has a different but complementary mechanism to widely used robust control and adaptive control and other promising methods such as internal model control and output regulation theory.
Finite-time control for robot manipulators ☆
TL;DR: The study of the finite-time control problem from second-order systems to a large class of higher order nonlinear systems and the effectiveness of the proposed approach is illustrated by both theoretical analysis and computer simulation.
558
Adaptive finite-time control of nonlinear systems with parametric uncertainty
TL;DR: To achieve finite-time stabilization, a constructive control design approach is proposed by following backstepping methodology, and an adaptive finite- time control law is obtained in the form of continuous time-invariant feedback.
479