Robust Speed Control of Permanent Magnet Synchronous Motors Using Two-Degrees-of-Freedom Control

Mendoza-Mondragón, F.; Hernández-Guzmán, Victor Manuel; Rodríguez‐Reséndiz, Juvenal

doi:10.1109/tie.2017.2786203

Cited by 108 publications

(40 citation statements)

References 29 publications

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“…Because PMIWMs can easily be interfered with by external and internal disturbances, the conventional index approaching rate is not suitable for the control system. FTSMC is a novel approaching rate which has fast approaching speed and response speed, according to [39]. The novel FTSMC variable is defined as:…”

Section: Ftsmc Algorithm For Controlling the Systemmentioning

confidence: 99%

Fast Terminal Sliding Mode Control of Permanent Magnet In-Wheel Motor Based on a Fuzzy Controller

Huang

Pan

et al. 2020

Energies

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A fast terminal sliding mode control is proposed in this paper for improving the dynamic performance and robustness of a permanent magnet in-wheel motor system driven by a voltage source inverter. Firstly, a fast terminal sliding mode approaching law was designed to accelerate the approaching rate of the control system. Then, a torque load observer was designed to compensate for disturbances and uncertainties. Finally, fuzzy rules were designed to suppress the chattering phenomenon. Simulation and experimental results demonstrated that the fast terminal sliding mode control strategy presented better response speed than the conventional sliding mode control strategy. It had better dynamic performance and anti-interference and effectively reduced the chattering phenomenon in the control process.

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Section: Ftsmc Algorithm For Controlling the Systemmentioning

confidence: 99%

Fast Terminal Sliding Mode Control of Permanent Magnet In-Wheel Motor Based on a Fuzzy Controller

Huang

Pan

et al. 2020

Energies

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“…During recent decades, the permanent magnet synchronous motor (PMSM) has been used more and more due to its advantages; but at the same time, too many control structures have been developed to enhance the performance due to the nonlinears, and endogenous and exogenous disturbances [5]. Some of them include classical controllers, intelligent control, vector control, backstepping technique, linear quadratic regulator, fuzzy logic controller, artificial neural networks, genetic algorithm, predictive control, and robust control [6].…”

Section: Introductionmentioning

confidence: 99%

Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

2020

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Proportional integral (PI) control is still the most widely deployed controller in the industrial drives due to its simplicity and the fact that it is easy to understand and implement. Nevertheless, they are successes applied to systems with a complex behavior with a nonlinear representation, but a disadvantage is the procedure to find the optimal PI controller gains. The optimal values of PI parameters must be computed during the tuning process. However, traditional tuning techniques are based on model and do not provide optimal adjustment parameters for the PI controllers because the transient response could produce oscillations and a large overshoot. In this paper, six swarm intelligence-based algorithms (whale, moth-flame, flower pollination, dragonfly, cuckoo search, and modified flower pollination), are correctly conditioned and delimited to tune the PI controllers, the results are probed in a typical industry actuator. Also, a rigorous study is developed to evaluate the quality and reliability of these algorithms by a statistical analysis based on non-parametric test and post-hoc test. Finally, with the obtained results, some time simulations are carried out to corroborate that the nonlinear system performance is improved for high precision industrial applications subjected to endogenous and exogenous uncertainties in a wide range of operating conditions.

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“…It was proved that under the load variation, SMS speed control system had better robustness than PI controller. In [26], also a two-degree-of-freedom controller including two internal electric current loops driven by proportional and PI controllers has been presented. The results validated the global exponential stability and robustness with respect to uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Robust speed controller design for permanent magnet synchronous motor based on gain-scheduled control method via LMI approach

et al. 2020

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In recent years, permanent magnet synchronous motors (PMSMs) have received more attention in industries due to their higher efficiency in comparison to induction motors. Moreover, they play a growingly important role in applications where variable speeds are necessary. This paper is concerned with the speed control of PMSMs, and the controller design procedure is developed in two steps. Firstly, a novel robust controller is designed via linear matrix inequalities (LMIs) approach in order to guarantee the robustness of the speed control under the load variation and uncertainty. The design of the main LMI, uncertainty, and disturbance elimination LMI involves several steps which are presented in the paper. For comparison, classic state feedback controller and proportional-integral-derivative controller with parameters optimized by genetic algorithm are implemented in different scenarios. Secondly, a gain-scheduled controller is designed and simulated. The controller design conditions are derived in terms of LMIs, which can be solved via convex optimization in MATLAB using YALMIP toolbox. It is observed that instead of using one robust controller for all operating points, several ones can be used, and by measuring the speed feedbacks, the control system opt for the appropriate controller. The suggested gain-scheduled control method via LMI approach gives excellent performance over the complete operational range, and the results validate the robustness and effectiveness of the proposed method.

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Robust Speed Control of Permanent Magnet Synchronous Motors Using Two-Degrees-of-Freedom Control

Cited by 108 publications

References 29 publications

Fast Terminal Sliding Mode Control of Permanent Magnet In-Wheel Motor Based on a Fuzzy Controller

Fast Terminal Sliding Mode Control of Permanent Magnet In-Wheel Motor Based on a Fuzzy Controller

Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

Robust speed controller design for permanent magnet synchronous motor based on gain-scheduled control method via LMI approach

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