Angular Speed Control of Permanent Magnet Synchronous Motor Based on Improved Fractional Order ADRC

Wu, Zhenben; Liu, Bingyou; Wang, Chao; Yu, Susu

doi:10.1109/cac57257.2022.10055965

Cited by 1 publication

(2 citation statements)

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“…For the chaotic phenomenon existing in the operation of the permanent magnet synchronous motor, a robust controller was designed based on the Hamiltonian function to realize the rapid separation of the motor from the chaotic state 13 . For the sensorless H ∞ control problem of permanent magnet synchronous motors, the expansion + feedback method was used based on the Hamiltonian function to design an observer to measure the rotor angular velocity, and realized the speed sensorless H ∞ shaping control 14 . Although H ∞ control has strong robustness, it is adopted a large range because the variation range of system parameters is generally unavailable, resulting in design redundancy.…”

Section: Introductionmentioning

confidence: 99%

“…13 For the sensorless H ∞ control problem of permanent magnet synchronous motors, the expansion + feedback method was used based on the Hamiltonian function to design an observer to measure the rotor angular velocity, and realized the speed sensorless H ∞ shaping control. 14 Although H ∞ control has strong robustness, it is adopted a large range because the variation range of system parameters is generally unavailable, resulting in design redundancy. For the multi-machine system, the Hamilton max-min control method was adopted to maintain the best transient characteristics when there exists interference.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive cooperation control of wind power generation systems based on Hamilton system under limited input

Hou

2023

Adaptive Control & Signal

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SummaryNumerous wind turbines form large‐scale wind farms, which are complex nonlinear systems with uncertain parameters. The issue of maximum wind energy capture and coordinated control has always been a research hotspot. In this article, under the condition of limited input and uncertain parameters, the preset controller and the adaptive cooperation control are designed to realize the maximum wind energy capture for every wind turbine and the adaptive cooperation control of multiple wind turbines. The research gap lies in that the Hamilton model of wind power generation system is established with uncertain parameters, and the preset controller (method) is designed to capture the maximum wind energy. Under the hypothesis that the uncertain part can be expressed as a linear form about unknown parameter, and using the saturation function processing method in the diagonal matrix, an adaptive feedback controller with limited input is designed to realize the adaptive cooperation control of multiple wind turbines. The simulation results show that under the conditions such as variable wind speed, limited input and uncertain parameters, the wind turbine remain normal operation at the desired angular velocity. It can be concluded that not only the maximum wind energy capture is realized under the condition of variable wind speed, in which the wind turbine can operate on the optimal power curve to improve the utilization of wind energy, but also the adaptive cooperation control of multiple wind turbines can be achieved with limited input and parameter perturbation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%