Affiliation:
1. University of Chinese Academy of Sciences, No. 19, Yuquan Rd., Beijing 100049, China
2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Abstract
Disturbances in the aviation environment can compromise the stability of the aviation optoelectronic stabilization platform. Traditional methods, such as the proportional integral adaptive robust (PI + ARC) control algorithm, face a challenge: once high-frequency disturbances are introduced, their effectiveness is constrained by the control system’s bandwidth, preventing further stability enhancement. A state equalizer speed closed-loop control algorithm is proposed, which combines proportional integral adaptive robustness with state equalizer (PI + ARC + State equalizer) control algorithm. This new control structure can suppress high-frequency disturbances caused by mechanical resonance, improve the bandwidth of the control system, and further achieve fast convergence and stability of the PI + ARC algorithm. Experimental results indicate that, in comparison to the control algorithm of PI + ARC, the inclusion of a state equalizer speed closed-loop compensation in the model significantly increases the closed-loop bandwidth by 47.6%, significantly enhances the control system’s resistance to disturbances, and exhibits robustness in the face of variations in the model parameters and feedback sensors of the control object. In summary, integrating a state equalizer speed closed-loop with PI + ARC significantly enhances the suppression of high-frequency disturbances and the performance of control systems.
Reference31 articles.
1. Disturbance-observer-based control and related methods-an overview;Chen;IEEE Trans. Ind. Electron.,2016
2. Disscussion aspects of high-order sliding mode control;Utkin;IEEE Trans. Autom. Control,2016
3. Non-sigular terminal sliding mode control of rigid manipulators;Feng;Automatica,2002
4. Higher accuracy output feedback sliding mode control of sampled-data system;Nguyen;IEEE Trans. Autom. Control,2016
5. Furtat, I.B., and Chugina, J.V. (July, January 29). Robust adaptive control with disturbances compensation. Proceedings of the 12th IFAC Workshop on Adaptation and Learning in Control and Signal Processing ALCOSP, Eindhoven, The Netherlands.