Adaptive Stabilization of Partially Damaged Vibrating Structures

• Autorzy: Wasilewski M. , Pisarski D. , Bajer C.
• Języki publikacji: EN

Abstrakty

EN

In this paper an online adaptive continuous-time control algorithm will be studied in the vibration control problem. The examined algorithm is a Reinforcement Learning based scheme able to adapt to the changing system’s dynamics and providing control converging to the optimal control. Firstly, a brief description of the algorithm is provided. Then, the algorithm is studied by the numeric simulation. The controlled model is a simple conjugate oscillator with sudden change of its rigidity. The effectiveness of the adaptation of the algorithm is compared to the simulation results of controlling the same object by the traditional Linear Quadratic Regulator. Because of the lack of constraints for a system size or its linearity, this algorithm is suitable for optimal stabilization of more complex vibrating structures.

Słowa kluczowe

EN

vibration control; adaptive control; optimal control; policy iteration; Hamilton-Jacobi-Bellman equation

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Research
• Rocznik: 2016
• Tom: Vol. 40, No. 1
• Strony: 65--82
• Opis fizyczny: Bibliogr 26 poz., wykr.

Twórcy

autor

Wasilewski M.

• Institute of Fundamental Technological Research Polish Academy of Sciences

autor

Pisarski D.

• Institute of Fundamental Technological Research Polish Academy of Sciences

autor

Bajer C.

• Institute of Fundamental Technological Research Polish Academy of Sciences

Bibliografia

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