Title: Minimum energy trajectory planning for vibration control of a flexible manipulator using a multi-objective optimisation approach
Authors: Akira Abe; Kazuma Komuro
Addresses: Department of Systems, Control and Information Engineering, Asahikawa National College of Technology, 2-2-1-6 Syunkodai, Asahikawa 071-8142, Japan. ' Department of Nuclear System Safety Engineering, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka 940-2188, Japan
Abstract: In this study, we deal with a point-to-point motion task for a flexible manipulator and develop a minimum energy trajectory planning method for residual vibration suppression, in which soft computing techniques are used. An artificial neural network (ANN) is employed to generate the joint angle of the manipulator. For the ANN, we use a vector evaluated particle swarm optimisation (VEPSO) algorithm as the learning algorithm. The maximum residual vibration amplitude and the operating energy are adopted as multi-objective functions of the VEPSO algorithm. By operating the manipulator along the trajectory thus generated, the suppression of the residual vibration can be realised with minimum consumption of driving energy. In other words, the proposed method is an open-loop control that does not require sensors to measure unwanted vibrations. The performance of the proposed control scheme is confirmed by numerical simulation. In addition, the effectiveness of the proposed approach is experimentally verified.
Keywords: open-loop control; vibration control; energy saving; artificial neural networks; ANNs; vector evaluated PSO; particle swarm optimisation; VEPSO; minimum energy; trajectory planning; chatter vibration; flexible manipulators; flexible robots; multi-objective optimisation; residual vibration; numerical simulation; robot control.
International Journal of Mechatronics and Automation, 2012 Vol.2 No.4, pp.286 - 294
Available online: 26 Nov 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article