A novel robust control strategy for industrial systems with time delay

Falconi, Franco; Capitaneanu, Stefan; Guillard, Hervé; Raïssi, Tarek

doi:10.1109/systol52990.2021.9595645

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…Therefore, the parameters of the 2DOF speed controller could be quantitatively designed by adopting the method proposed in [3] for quantitative design of the controller. To solve the impact of parameter uncertainty on control performance, the robust control technology with disturbance elimination method could be introduced at the same time [4]. Upon variation of system parameters or load disturbance, the robust controller could generate compensation signals to eliminate the impact on motor controlling performance and improve robustness of the control system.…”

Section: Introductionmentioning

confidence: 99%

“…Upon variation of system parameters or load disturbance, the robust controller could generate compensation signals to eliminate the impact on motor controlling performance and improve robustness of the control system. The magnitude of compensation signals could be adjusted by the weighting factor w, which could offset the influence of disturbance signal when w = 1 under ideal circumstances [4]. In practice, however, the greater the w, the greater the controlling force required.…”

Section: Introductionmentioning

confidence: 99%

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Design of a Robust Controller for Induction Motor Drive Systems Based on Extendable Fuzzy Theory

Chao,

Chang

2024

Preprint

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In this paper, an extendable fuzzy robust speed controller suitable for induction motor drive system was proposed. Firstly, the two-degrees-of-freedom (2DOF) robust control technology with feedforward control and disturbance elimination method was adopted. Upon parameter variation and load disturbance, the motor drive system could utilize a robust controller to generate compensation signals and reduce the impact on controlling performance of the motor drive system. The magnitude of the compensation signal was adjusted via the weighting factor. However, should a fixed weighting factor be adopted, system instability might be generated easily when time delay and saturation of control force occur. Based on the above, the smart method of extendable fuzzy theory (EFT) was adopted in this paper to adjust adequate weighting factors, where the controlling performance of the induction motor drive system could be improved accordingly. The method divided the speed difference between motor speed command and actual speed of the induction motor, and the variation rate for such speed difference into 20 regional categories. The correlation degree between the speed difference of actual feedback, variation rate for speed difference and each regional category was then calculated, where more suitable weighting factor was selected. Therefore, the proposed extendable fuzzy robust 2DOF controller with variable weighting factor designed will allow better performance for response in speed tracking and load regulation. Lastly, the simulation software Matlab/Simulink was applied to simulate the utilization of the controlling method proposed for the induction motor drive system. For both the response in speed tracking and load regulation, the simulation results proved that the extendable fuzzy robust speed controller proposed provided better controlling performance than the conventional robust controller.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%