Title :
Adaptive robust tip tracking control of a class of flexible beams
Author :
Chen, Zheng ; Yao, Bin ; Wang, Qingfeng
Author_Institution :
State Key Lab. of Fluid Power Transm. & Control, Zhejiang Univ., Hangzhou, China
Abstract :
This paper presents a novel tip tracking control of a class of Euler-Bernoulli flexible beams, which are actuated by a linear motor driven stage. The dynamic model is obtained by the finite-dimensional truncation approach, and transformed into the standard form with unknown parameters. The least square estimation algorithm is designed for on-line parameter adaptation. For the use of adaptive backstepping control design later, the beam dynamics is also transformed into the strict feedback form with the unstable zero dynamics. The desired internal state trajectory is found by dynamical inversion methods based on the on-line estimated parameters. Due to the appearance of non-minimum phase zeros, this stable solution is unique and non-causal. A modified adaptive robust controller is then designed to ensure bounded internal states and a guaranteed output tracking performance with model uncertainties. Comparative experiments are subsequently implemented on a HIWIN linear motor driven flexible beam system, and the results show the excellent tracking performance of the proposed control algorithm.
Keywords :
adaptive control; beams (structures); control nonlinearities; control system synthesis; least squares approximations; linear motors; manipulator dynamics; multidimensional systems; parameter estimation; robust control; uncertain systems; Euler-Bernoulli flexible beams; HIWIN linear motor driven flexible beam system; adaptive backstepping control design; adaptive robust tip tracking control; beam dynamics; bounded internal states; dynamic model; dynamical inversion methods; finite-dimensional truncation approach; internal state trajectory; least square estimation algorithm; linear motor driven stage; model uncertainties; online parameter adaptation; online parameter estimation; output tracking performance; strict feedback form; unstable zero dynamics; Adaptation models; Backstepping; Control design; Heuristic algorithms; Least squares approximation; Robustness; Uncertainty;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location :
Kachsiung
Print_ISBN :
978-1-4673-2575-2
DOI :
10.1109/AIM.2012.6265977