Title :
Application of non-linear observer with simultaneous perturbation stochastic approximation method to single flexible link SMC
Author :
Martinez, Jorge Ivan Medina ; Sawut, Umerujan ; Nakano, Kazushi
Author_Institution :
Univ. of Electro-Commun., Chofu
Abstract :
The main object in this study concerns to vibration control of a one-link flexible arm system. The robot link manipulators are widely used in various industrial applications. A variable structure system (VSS) non-linear observer has been proposed in order to reduce the oscillation in controlling the angular. The non-linear observer parameters are optimized using a novel version of simultaneous perturbation stochastic approximation (SPSA) algorithm. The SPSA algorithm is especially useful when the number of parameters to be adjusted is large, and makes it possible to estimate them very efficiently. As for the vibration and position control, a model reference sliding mode control (MR-SMC) has been proposed. The simulations show that the vibration and position controls of a one-link flexible arm system can be achieved more easy and efficiently with a non-linear observer designed using our proposed modified SPSA algorithm.
Keywords :
approximation theory; flexible manipulators; nonlinear control systems; observers; perturbation techniques; position control; stochastic processes; variable structure systems; vibration control; industrial applications; model reference sliding mode control; nonlinear observers; one-link flexible arm system; position control; robot link manipulators; simultaneous perturbation stochastic approximation method; single flexible link SMC; variable structure system; vibration control; Approximation methods; Electrical equipment industry; Manipulators; Nonlinear control systems; Position control; Service robots; Sliding mode control; Stochastic processes; Variable structure systems; Vibration control; Fisher Information matrix; Flexible Arm System; Non-linear Observer; Simultaneous Perturbation Method; Sliding Mode Control;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4655019