Improving Disturbance Rejection Performance of EID-Based Control by Employing PLTD

Yang, Lei; Wang, Na; Liu, Zhiyong; Li, Ning

doi:10.1109/access.2023.3318256

Cited by 2 publications

(1 citation statement)

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“…Based on the above analysis, we can get the following theorem: Theorem 3. System (5) satisfes Assumption 1, and the designed system satisfes the following conditions [35]:…”

Section: Advances In Astronomymentioning

confidence: 98%

Tracking and Disturbance Suppression of the Radio Telescope Servo System Based on the Equivalent-Input-Disturbance Approach

Yang,

Wang,

Liu

et al. 2024

Advances in Astronomy

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This paper presents a composite control algorithm for the radio telescope servo control system to address the target tracking and matched/mismatched disturbance suppression problems. The algorithm consists of the equivalent-input-disturbance (EID) approach and the optimal control method. An EID estimator is developed using the difference between the estimated output of the state observer and the measurement output and then the estimate of the EID is fed forward into the control input to reject the disturbance. A cost function with clear physical meaning is selected and the weighting parameters are adjusted for the optimal controller to improve tracking performance. Considering the nonminimum phase characteristics of the radio telescope system, the state observer gain is computed using the linear matrix inequality (LMI) method. The system stability is analyzed using the small gain theorem, and the linear quadratic regulator (LQR) control method is utilized to determine the state feedback gain. Finally, the composite controller is designed for an identified telescope model. Simulation results show that for the tracking performance, the settling time of proposed method is 1.13 s and reduces by about 0.32 s and 0.87 s than that of the ADRC controller and PI controller, respectively. For the antidisturbance performance, the RMS value and the maximum error of the proposed method are 0.0039 and 0.0128, which are 42.86% and 40.38% of the ADRC controller and 30.71% and 27.77% of the PI controller, respectively, which indicates that the proposed method has better control performance. In addition, the proposed controller has certain robustness to systematic parameter perturbations.

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“…Based on the above analysis, we can get the following theorem: Theorem 3. System (5) satisfes Assumption 1, and the designed system satisfes the following conditions [35]:…”

Section: Advances In Astronomymentioning

confidence: 98%