Abstract
This paper considers the set-point control problem of an uncertain six-degree-of-freedom precision positioning system, where only position measurements are available. As a solution, we present an iterative output feedback control algorithm whose learning mechanism is based on the concept of contraction mapping. Besides stability and convergence, the presented analysis includes practical aspects associated with the algorithm implementation. In particular, it is shown that: 1) the system response due to the iterative process converges to an arbitrarily small neighborhood of the desired equilibrium point, and 2) the steady-state response after each iteration is bounded inside the system traveling range. The presented control algorithm is demonstrated experimentally.
Original language | English |
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Article number | 7296634 |
Pages (from-to) | 660-673 |
Number of pages | 14 |
Journal | IEEE/ASME Transactions on Mechatronics |
Volume | 21 |
Issue number | 2 |
DOIs | |
State | Published - 1 Apr 2016 |
Keywords
- Contraction Mapping
- Iterative Control
- Learning Cont
- Precision Positioning
- Uncertain System
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering