## Abstract In the model reference adaptive control problem, the goal is to force the error between the plant output and the reference model output asymptotically to zero. The classical assumptions on a singleβinputβsingleβoutput (SISO) plant is that it is minimum phase, and that the plant relative
A pneumatic model-following control system using a fuzzy adaptive controller
β Scribed by Chieh-Li Chen; Pey-Chung Chen; Cha'o-Kuang Chen
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 351 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper, a fuzzy model-following control algorithm is applied to a pneumatic servo position control system. A procedure of designing the proposed controller is presented. The inherent nonlinearities and hysteresis of the servo valve results in an unsymmetrical response between the forward and backward motion. By introducing a fuzzy compensating controller, the unsymmetrical response of the cylinder has been improved. The experimental results indicate that the proposed controller is insensitive to system parameter variations, external load and nonlinearities. The proposed algorithm can also be applied to the control of industrial robots, forming processes and machine tools.
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