Abstract
In this article, a switching Model Predictive Controller (sMPC) scheme for the position control of a Pneumatic Artificial Muscle (PAM) is being presented. The control scheme is based on a constrained linear and PieceWise Affine (PWA) system model approximation that is able to capture the high nonlinearities of the PAM and improve the overall model accuracy, and is composed of: a) a feed-forward term regulating control input at specific reference set-points, and b) a switching Model Predictive Controller handling any deviations from the system’s equilibrium points. Extended simulation studies were utilized in order to investigate and evaluate the efficacy of the suggested controller in the positioning problem of a PAM.
Original language | English |
---|---|
Pages (from-to) | 1223-1231 |
Number of pages | 9 |
Journal | International Journal of Control, Automation and Systems |
Volume | 11 |
Issue number | 6 |
DOIs | |
Publication status | Published - Dec 2013 |
Keywords
- Feed forward control
- fluidic muscle
- model predictive control
- piecewise affine system
- pneumatic artificial muscle