Research on Multi-Loop Nonlinear Control Structure and Optimization Method of PMLSM

Wang, Rongkun; Man, Fei; Yan, Dadong; Hu, Bingtao; Sun, Sigun; Chen, Qiyong; Wang, Jie

doi:10.1109/access.2019.2952879

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…However, in its calculation, it is difficult to ensure the accuracy of reliability measurement because a large number of encapsulated data are needed. Secondly, if the wireless sensor network is in a complex environment, resulting in constant changes in connectivity [18], the evaluation of a single sensor will be useless. Reliability, reliability test is combined with multiple indicators.…”

Section: Multi-index Reliability Evaluation Indexmentioning

confidence: 99%

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Zhao

2022

Security and Communication Networks

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Learn about effective and uncontrolled gambling on wireless networks. Firstly, according to the control purpose, considering the reliability requirement of microgrid for network communication, the characteristics of wireless sensor network communication quality of service in microgrid, the influence of wireless connection reliability, and the mathematical standard of wireless communication are determined. Then, according to the estimation of the occurrence time of wireless communication link reliability, the reliability of wireless sensor network communication link in a smart grid is improved based on a fuzzy nonlinear control algorithm. Finally, the security and reliability of the control system described in this paper are measured by simulation. The experimental results show that the reliability of the wireless communication estimation time estimation algorithm and the power control algorithm based on fuzzy control can estimate the reliability, shortsightedness, and accuracy of good connections in real time. By adjusting the output power of the node, the connection quality and reliability can be controlled stably.

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Section: Multi-index Reliability Evaluation Indexmentioning

confidence: 99%

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Zhao

2022

Security and Communication Networks

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“…To efficiently drive PMSM in applications, the literature [21] used an ant lion optimization algorithm to tune a PID controller for the speed control of a PMSM. To enhance the nonlinear capability of the system, the literature [22] introduced a nonlinear PID control strategy into the field of servo control and proposed a nonlinear control strategy for the three-loop servo system. To effectively restrain the adverse effects of overshoot and thrust pulsation on the PMLSM system, a resonant-two-degreeof-freedom (R-2DOF) PID controller has been proposed in the literature [23].…”

Section: Introductionmentioning

confidence: 99%

Adaptive PID controller of permanent magnet linear synchronous motor based on particle swarm neural network

Yang

Fan

2023

IEICE Electron. Express

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To improve the dynamic response performance and robustness of a permanent magnet linear synchronous motor (PMLSM)-based servo system, an adaptive proportional-integralderivative (PID) controller based on a particle swarm optimization neural network is proposed. First, according to the mechanical dynamics equation of the PMLSM, a mathematical model of the PMLSM was established. Second, an adaptive PID speed controller is designed to realize real-time control of the PMLSM. To improve the dynamic performance and stability of the controller, a particle swarm optimization neural network is used to dynamically tune the parameters. Finally, the effectiveness of the proposed controller was verified on the MATLAB/Simulink simulation platform. Compared to the traditional PID controller, the adaptive PID controller can improve the dynamic performance of the system more effectively.

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“…Contour error is an important index to evaluate contour performances in motion control [2], which is defined as the shortest distance between the actual motion position and contour reference. Conventional PID controllers do not perform well in loaddisturbing coupled system [3]. To effectively decrease contour error, researchers have proposed many control strategies.…”

Section: Introductionmentioning

confidence: 99%

Active Cross Pre-Compensation Decoupling Control of X-Y Linear Motor Platform Based on Contour Error Analysis Model

Wang

Chen

et al. 2022

IEEE Access

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To improve the position accuracy of the X-Y linear motor motion platform, this paper derives a contour error analysis model (CEAM) and proposes an active cross pre-compensation decoupling controller (ACPDC). Three major factors affect the tracking performance of the X-Y motion platform are obtained from the derived CEAM: uniaxial-axis subsystem performance, dynamic compatibility between multiple axes, and disturbances. CEAM also shows that better contour control can be achieved by combining the unified modeling idea. Therefore, the ACPDC proposed in this paper integrates the inter-axis controller and single-axis subsystem by establishing a unified control law that combines active precompensation control with linear active disturbance rejection control. The theoretical analysis based on CEAM shows that ACPDC achieves improvements in the above three aspects. Finally, experimental results on an X-Y linear motor platform support the CEAM analysis that ACPDC has better contouring performance than other multi-axis controllers. Compared with these controllers, ACPDC has the best system robustness and uniaxial tracking performance.

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Research on Multi-Loop Nonlinear Control Structure and Optimization Method of PMLSM

Cited by 6 publications

References 11 publications

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Adaptive PID controller of permanent magnet linear synchronous motor based on particle swarm neural network

Active Cross Pre-Compensation Decoupling Control of X-Y Linear Motor Platform Based on Contour Error Analysis Model

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