Abstract
In industrial precision applications using dual-axis micro-positioning stages powered by piezoelectric actuators (PEA), the trajectory tracking and contour following performances are limited due to PEA's inherent hysteretic nonlinearity and time varying parameters. In order to cope with this problem, a position control scheme based on reinforcement learning cerebellar model articulation controller (RLCMAC) is developed in this paper. In the proposed control scheme, for each individual-axis, a CMAC-based feedforward controller with reinforcement learning scheme and a conventional proportional-integral (PI) feedback controller are used. Moreover, in order to reduce contour errors, a CMAC-based cross-coupled controller (CMAC-CCC) is applied to improve the contouring accuracy of a dual-axis micro-positioning stage. Finally, an integrated control scheme is proposed to improve the tracking and contouring accuracy. Experimental results verify the effectiveness of the proposed approach.
| Original language | English |
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| Title of host publication | AMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings |
| Pages | 82-87 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2010 Jun 25 |
| Event | 2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010 - Nagaoka, Niigata, Japan Duration: 2010 Mar 21 → 2010 Mar 24 |
Publication series
| Name | International Workshop on Advanced Motion Control, AMC |
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Other
| Other | 2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010 |
|---|---|
| Country/Territory | Japan |
| City | Nagaoka, Niigata |
| Period | 10-03-21 → 10-03-24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering
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