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  4. Vol 7, Issue 3, 2023

PIαDβ Controller with Neural Network in Active Magnetic Bearing

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DOI: 10.23977/acss.2023.070303 | Downloads: 8 | Views: 363

Author(s)

Zhongqiao Zheng 1

Affiliation(s)

1 School of Electrical and Information Engineering, Changzhou Institute of Technology, Changzhou, Jiangsu, China

Corresponding Author

Zhongqiao Zheng

ABSTRACT

Active magnetic bearing control system has some characteristics of complexity, nonlinear and strong coupling, it is difficult to get better control effect by general PID controller. As a result, a new type of PIαDβ controller with neural network is proposed. A mathematical model of active magnetic bearing is constructed. Construction of a fractional order controller with BP neural network is given. On the basis of working state of control system, five parameters of controller are adjusted to make active magnetic bearing system more accurate by self-learning and parallel processing capability of BP neural network. Experiment results indicate that when system parameters change, the system of PIαDβ controller with neural network reaches steady state after 0.1s, when the external disturbance is suddenly added to system, the response time of PIαDβ controller with neural network is 0.035s.The rapidity, stability, accuracy and anti-interference ability of PIαDβcontroller with neural network is obviously superior to other two kinds of control system.

KEYWORDS

PIαDβ controller, Active magnetic bearing system, Nonlinear, Neural network, Dynamic performance

CITE THIS PAPER

Zhongqiao Zheng. PIαDβ Controller with Neural Network in Active Magnetic Bearing. Advances in Computer, Signals and Systems (2023) Vol. 7: 13-21. DOI: http://dx.doi.org/10.23977/acss.2023.070303.

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