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Chinese Physics B 2015年第11期24卷 157-162页

作者：陈强南余荣郑恒火任雪梅 College of Information Engineering Zhejiang University of Technology School of Automation Beijing Institute of Technology

A full-order sliding mode control based on a fuzzy extended state observer is proposed to control the uncertain chaos in the permanent magnet synchronous motor. Through a simple coordinate transformation, the chaotic PMSM model is transformed into the Brunovsky canonical form, which is more suitable for the controller design. Based on the fuzzy control theory, a fuzzy extended state observer is developed to estimate the unknown states and uncertainties, and the restriction that all the system states should be completely measurable is avoided. Thereafter, a full-order sliding mode controller is designed to ensure the convergence of all system states without any chattering problem. Comparative simulations show the effectiveness and superior performance of the proposed control method.

关键词： permanent magnet synchronous motor chaotic system sliding mode control fuzzy extended stateobserver

Fractional-order permanent magnet synchronous motor and its adaptive chaotic control

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Chinese Physics B 2012年第10期21卷 168-173页

作者：李春来禹思敏罗晓曙 College of Automation Guangdong University of Technology College of Physics and Electronics Hunan Institute of Science and Technology College of Electronic Engineering Guangxi Normal University

In this paper we investigate the chaotic behaviors of the fractional-order permanent magnet synchronous motor（PMSM）.The necessary condition for the existence of chaos in the fractional-order PMSM is *** an adaptivefeedback controller is developed based on the stability theory for fractional *** presented control scheme,which contains only one single state variable,is simple and flexible,and it is suitable both for design and for implementation in *** is carried out to verify that the obtained scheme is efficient and robust against external interference for controlling the fractional-order PMSM system.

关键词： fractional-order permanent magnet synchronous motor adaptive chaotic control

Controlling chaos in permanent magnet synchronous motor based on finite-time stability theory

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Chinese Physics B 2009年第4期18卷 1399-1403页

作者：韦笃取张波 Power Electric College South China University of Technology

This paper reports that the performance of permanent magnet synchronous motor （PMSM） degrades due to chaos when its systemic parameters fall into a certain area. To control the undesirable chaos in PMSM, a nonlinear controller, which is simple and easy to be constructed, is presented to achieve finite-time chaos control based on the finite-time stability theory. Computer simulation results show that the proposed controller is very effective. The obtained results may help to maintain the industrial servo driven system＇s security operation.

关键词： chaos control finite-time stability theory permanent magnet synchronous motor

permanent magnet Axial Section Shaping Optimization Surface-mounted permanent magnet synchronous motor

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CES Transactions on Electrical Machines and Systems 2023年第4期7卷 366-371页

作者： Shengnan Wu Qifeng Zhao Wenming Tong the School of Electrical Engineering Shenyang University of TechnologyShengyang 110870China IEEE

In this paper, a new type of harmonic injection permanent magnet shape optimization method is proposed to suppress the torque ripple of surface-mounted permanent magnet synchronous motor. The sinusoidal waveform shaping of the axial section of the permanent magnet is added with the third harmonic shaping, and the sine wave and the third harmonic are derived. The optimal ratio is 6:1. The permanent magnet no shaping, sinusoidal shaping and sinusoidal combined third harmonic shaping are compared. The results show that the sinusoidal combined third harmonic shaping design can effectively suppress the torque ripple of the surface mounted permanent magnet synchronous motor and obtain a relatively large output torque. At the same time, a method of using permanent magnet segmentation to approximately equivalently replace sine combined with third harmonic shaping design is proposed, which effectively saves the manufacturing cost of permanent magnets and provides design and research ideas for more economical and effective optimization of surface-mounted permanent magnet motors.

关键词： permanent magnet synchronous motor Harmonic Injection Torque Ripple Segmented magnet

Research on Thermal Calculation and End Winding Heat Conduction Optimization of Low Speed High Torque permanent magnet synchronous motor

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CES Transactions on Electrical Machines and Systems 2023年第4期7卷 397-403页

作者： Shengnan Wu Zhimin Li Wenming Tong the School of Electrical Engineering Shenyang University of TechnologyShengyang 110870China IEEE

Because of its simple structure,large torque and high efficiency,permanent magnet synchronous motor of low speed and high torque is widely adopted in many *** this paper,a 394.5k W mining low-speed high-torque permanent magnet synchronous motor(LSHTPMSM)is regarded as the study *** to the physical model,a three-dimensional equivalent heat transfer temperature field calculation model of the motor is built to simulate the temperature distribution of the motor under rated *** terms of the serious issue of stator winding temperature increase of permanent magnet synchronous motor of low speed and high torque,the heat conduction optimization of the end of the stator winding is studied,which enhances the heat dissipation effect of the stator end winding,effectively reduces its temperature increase and temperature gradient with the winding in the slot,and improves the practical efficiency and service life of the ***,the motor temperature rise test platform is constructed for the verification of the feasibility of the optimization scheme,which provides a reference direction for the heat dissipation optimization of permanent magnet synchronous motor of low speed and high torque.

关键词： permanent magnet synchronous motor Temperature field Thermal optimization

Cascaded Model Predictive Control of Six-phase permanent magnet synchronous motor with Fault Tolerant Ability

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CES Transactions on Electrical Machines and Systems 2023年第3期7卷 311-319页

作者： Ling Feng Zhaohui Wang Jianghua Feng Wensheng Song CRRC Zhu Zhou Institude Co. Ltd.ZhuZhou 412001China School of Electrical Engineering Southwest Jiaotong UniversityChengdu 611756China IEEE

In the field of high-power electric drives, multiphase motors have the advantages of high power-density, excellent fault tolerance and control flexibility. But their decoupling control and modulation process are much more complicated compared with three-phase motors due to the increased degree of freedom. Finite control set model predictive control can reduce the difficulties of controlling six-phase motors because it does not require modulation process. In this paper, a cascaded model predictive control strategy is proposed for the optimal control of high-power six-phase permanent magnet synchronous motors. Firstly, the current prediction model of torque and harmonic subspaces are established by decoupling the six-phase spatial variables. Secondly, a cascaded cost function with fault-tolerant capability is proposed to eliminate the weighting factor in the cost function. And finally, the proposed strategy is demonstrated through theoretical analysis and experiments. It is validated that the proposed method is able to maintain excellent steady-state control accuracy and fast dynamic response while significantly reduce the control complexity of the system. Besides, it can easily achieve fault-tolerant operation under open-phase fault.

关键词： Fault-tolerant control Model predictive control permanent magnet synchronous motor Six-phase motor Weighting factor

Improved Particle Swarm Optimization for Parameter Identification of permanent magnet synchronous motor

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Computers, Materials & Continua 2024年第5期79卷 2187-2207页

作者： Shuai Zhou Dazhi Wang Yongliang Ni Keling Song Yanming Li School of Information Science and Engineering Northeastern UniversityShenyang110819China China Northern Vehicle Research Institute Beijing100072China

In the process of identifying parameters for a permanent magnet synchronous motor,the particle swarm optimization method is prone to being stuck in local optima in the later stages of iteration,resulting in low parameter *** work proposes a fuzzy particle swarm optimization approach based on the transformation function and the filled *** approach addresses the topic of particle swarmoptimization in parameter identification from two ***,the algorithm uses a transformation function to change the form of the fitness function without changing the position of the extreme point of the fitness function,making the extreme point of the fitness function more prominent and improving the algorithm’s search ability while reducing the algorithm’s computational ***,on the basis of themulti-loop fuzzy control systembased onmultiplemembership functions,it is merged with the filled function to improve the algorithm’s capacity to skip out of the local optimal *** approach can be used to identify the parameters of permanent magnet synchronous motors by sampling only the stator current,voltage,and speed *** simulation results show that the method can effectively identify the electrical parameters of a permanent magnet synchronous motor,and it has superior global convergence performance and robustness.

关键词： Transformation function filled function fuzzy particle swarm optimization algorithm permanent magnet synchronous motor parameter identification

MPC-based torque control of permanent magnet synchronous motor for electric vehicles via switching optimization

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Control Theory and Technology 2017年第2期15卷 138-149页

作者： Bingtao REN Hong CHEN Haiyan ZHAO Wei XU State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin 130025 China Department of Control Science and Engineering Jilin University Changchun Jilin 130025 China

In order to effectively achieve torque demand in electric vehicles （EVs）, this paper presents a torque control strategy based on model predictive control （MPC） for permanent magnet synchronous motor （PMSM） driven by a two-level three-phase inverter. A centralized control strategy is established in the MPC framework to track the torque demand and reduce energy loss, by directly optimizing the switch states of inverter. To fast determine the optimal control sequence in predictive process, a searching tree is built to look for optimal inputs by dynamic programming （DP） algorithm on the basis of the principle of optimality. Then we design a pruning method to check the candidate inputs that can enter the next predictive loop in order to decrease the computational burden of evaluation of input sequences. Finally, the simulation results on different conditions indicate that the proposed strategy can achieve a tradeoff between control performance and computational efficiency.

关键词： permanent magnet synchronous motor electric vehicle torque optimal control model predictive control

An adaptive series control for an interior permanent magnet synchronous motor with actuator compensation

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Control Theory and Technology 2022年第3期20卷 392-407页

作者： Sajad Naderi Lordejani Rasoul M.Milasi Department of Mathematics and Computer Science Eindhoven University of TechnologyEindhovenThe Netherlands Department of Engineering Penn State FayetteThe Eberly CampusLemont FurnacePAUSA

An adaptive series speed control system for an interior permanent magnet synchronous motor(IPMSM)drive is presented in this *** control system consists of a current and a speed control loop,and it is intended to improve the drive’s speed tracking performance as well as to compensate for voltage distortions caused by non-ideal characteristics of the drive’s actuator,which is a voltage source inverter(VSI).To achieve these goals,a simple model that captures these characteristics of the VSI is developed and embedded in the motor’s electrical ***,based on the resulting model,an adaptive proportional-integral(PI)control for the current loops is designed,allowing for state regulation and actuator ***,to improve the drive’s speed tracking performance,a proportional-model-reference adaptive controller(MRAC)is designed for the speed *** from machine learning are used for designing the MRAC to effectively address nonlinearities and uncertainties in the speed ***,simulation results are presented to illustrate the outstanding performance of the proposed multi-loop controller.

关键词： permanent magnet synchronous motor Series control Adaptive control PI control Machine learning

Passive control of permanent magnet synchronous motor chaotic systems

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2005年第7期6卷 728-732页

作者：齐冬莲王家军赵光宙 College of Electrical Engineering Zhejiang University

permanent magnet synchronous motor model can exhibit a variety of chaotic phenomena under some choices of system parameters and external input. Based on the property of passive system, the essential conditions were studied, by which permanent magnet synchronous motor chaotic system could be equivalent to passive system. Using Lyapunov stability theory, the convergence condition deciding the system's characters was discussed. In the convergence condition area, the equivalent passive system could be globally asymptotically stabilized by smooth state feedback.

关键词： permanent magnet synchronous motor Passive system Convergence condition