Speed Control of PMSM Based on an Optimized ADRC Controller

Meng, YiBo; Liu, Bingyou; Wang, Lichao

doi:10.1155/2019/1074702

Cited by 27 publications

(20 citation statements)

References 19 publications

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“…A fuzzy logic controller was proposed to provide accurate steering angle and driving speed to control robot speed in [11]. An optimal control strategy based on active disturbance rejection control (ADRC) was proposed to achieve high-precision control of PMSM in [12]. Although these methods can control motor speed well, the temperature rise characteristics of the motor are not studied.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimal Control Strategy for Unpowered Downslope of High‐Voltage Inspection Robot Based on Motor Temperature Rise in Complexity Microgrid Networks

et al. 2021

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In order to avoid the motor damage caused by excessive temperature rise of armature winding of the walking motor during braking of high-voltage inspection robot in complexity microgrid networks, an unpowered downhill speed and energy recovery optimization control strategy is proposed based on temperature rise characteristics of the walking motor. Firstly, the thermal equivalent circuit model of the walking motor is established, and the mapping relationship between the armature winding temperature of the walking motor and ambient temperature is solved; secondly, the influence of armature winding temperature on unpowered downhill speed and energy recovery control strategy of robot is analyzed; thirdly, according to the temperature of front and rear wheel walking motors and the temperature difference between them, the optimal control strategy of unpowered downhill speed and energy recovery of robot is put forward; fourthly, by adjusting the duty ratio u of the energy consumption speed control system and the front wheel feedback brake distribution factor λ , the temperature difference between the front and rear wheel walking motors is reduced. Through the experimental analysis on the simulated line, it is verified that the unpowered downhill speed and energy recovery optimization control method based on the temperature rise characteristics of the walking motor can effectively reduce the temperature difference between the front and rear wheels.

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Section: Introductionmentioning

confidence: 99%

Research on Optimal Control Strategy for Unpowered Downslope of High‐Voltage Inspection Robot Based on Motor Temperature Rise in Complexity Microgrid Networks

et al. 2021

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“…O controle de sistemas com parâmetros incertos tem sido objeto de estudos e pesquisas contínuas na comunidade científica (Qu, 2003;Yildiz et al, 2007;Fu and Xie, 2010;Meng and Moore, 2016;Meng et al, 2019). Uma das principais motivações para esta investigação contínua reside na capacidade de alguns esquemas de controle serem capazes de compensar as variações paramétricas da planta.…”

Section: Introductionunclassified

“…Neste contexto, várias estratégias de controle robusto têm sido reportadas na literatura para solucionar o problema, com garantidas propriedades de estabilidade e convergência em malha fechada (Wu et al, 2018;Xia et al, 2018;Patelski and Dutkiewicz, 2020). O método de Controle com Rejeição Ativa de Distúrbios (do inglês, Active Disturbance Rejection Control-ADRC) está entre estas várias estratégias propostas, e será explorada neste artigo sob um paradigma diferenciado da teoria convencional (Madoński et al, 2015;Zuo et al, 2018;Meng et al, 2019). Com respeito ao método ADRC, tratase de uma técnica que utiliza um observador estendido (Extended State Observer -ESO) combinado com uma lei de controle por realimentação de estados parametrizada na forma padrão.…”

Section: Introductionunclassified

Controle de Sistemas Incertos via Método ADRC - Um novo Paradigma

Gouvêa

Vasconcellos

Zachi

2020

Anais Do Congresso Brasileiro De Automática 2020

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Este artigo trata do problema de controle robusto de sistemas não lineares incertos pelo método de Controle com Rejeição Ativa de Distúrbios (ADRC). A escolha do método se dá por conta de sua conhecida propriedade de robustez contra incertezas paramétricas e dinâmicas não modeladas do sistema. Embora já tenham sido reportadas algumas variantes deste método de controle, a abordagem deste artigo se concentra na versão linear do mesmo conhecida pelo termo LADRC (Linear ADRC). Contudo, uma característica comum a todas as variantes deste método é a utilização de um observador estendido para estimar os estados e os sinais não mensuráveis da planta, para alimentar uma lei de controle por realimentação de estados parametrizada. A mudança de paradigma ADRC proposta no presente trabalho consiste em modificar a estrutura do observador estendido para projetar o sinal da lei de controle utilizando apenas uma única estimativa do observador. Apesar da modificação proposta, demonstra-se que as propriedades de estabilidade e convergência resultantes são equivalentes às do paradigma ADRC tradicional. O desempenho do controlador é ilustrado por simulação numérica.

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“…A novel active disturbance rejection controller (ADRC) [13] is proposed to obtain the rapid dynamic response and strong anti-fluctuation performance. In [14], an optimized ADRC is proposed to achieve small overshoot, fast tracking, and strong anti-fluctuation performance. In this method, based on a new nonlinear function, various components of the ADRC are constructed.…”

Section: Introductionmentioning

confidence: 99%

Speed Regulation Based on Adaptive Control and RBFNN for PMSM Considering Parametric Uncertainty and Load Fluctuation

et al. 2020

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A novel speed control scheme combining adaptive speed controller and radial basis function neural network (ASC-RBFNN) is proposed for the speed regulation of permanent magnet synchronous motor (PMSM) in this paper. On one hand, in order to reduce the effect of parametric uncertainty and complicated load fluctuation on the speed control performance, an ASC is proposed. Meanwhile, the speed control system (SCS) of PMSM with the proposed ASC is asymptotically stable even though the parametric uncertainty and complicated load fluctuation exist. On the other hand, with consideration of the uncertainty of complicated load, PMSM parameters, and ASC parameters, the RBFNN is used to optimize all ASC parameters for optimal speed control performance. Finally, the performance is verified on an experiment platform. The results indicate that the SCS with the ASC-RBFNN speed control scheme is with good system stability, fast speed response, and strong anti-fluctuation performance in whole-speed range.

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Speed Control of PMSM Based on an Optimized ADRC Controller

Cited by 27 publications

References 19 publications

Research on Optimal Control Strategy for Unpowered Downslope of High‐Voltage Inspection Robot Based on Motor Temperature Rise in Complexity Microgrid Networks

Research on Optimal Control Strategy for Unpowered Downslope of High‐Voltage Inspection Robot Based on Motor Temperature Rise in Complexity Microgrid Networks

Controle de Sistemas Incertos via Método ADRC - Um novo Paradigma

Speed Regulation Based on Adaptive Control and RBFNN for PMSM Considering Parametric Uncertainty and Load Fluctuation

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