Abstract
Inaccuracy of mechanical components and nature of physical laws make actuators nonlinear devices. Actuator nonlinearities can be static like friction, deadzone, saturation, and/or dynamic like backlash and hysteresis. In this paper, we present recent developments in four basic problems in actuator control - friction, deadzone, backlash, and saturation. We apply intelligent control techniques for compensation of those nonlinearities for a class of nonlinear systems. Static and dynamic compensators using neural networks are considered. Different control structures are developed for common actuator nonlinearities. We present tuning algorithms for those intelligent compensation techniques that guarantee small tracking error and bounded internal states. Simulation results show that the proposed compensation schemes are efficient way of improving the tracking performance of nonlinear systems with backlash.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 4327-4332 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 4 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | 42nd IEEE Conference on Decision and Control - Maui, HI, United States Duration: Dec 9 2003 → Dec 12 2003 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization