Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 33B Issue 8
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- Pages.124-133
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- 1996
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- 1016-135X(pISSN)
Implementations of the variable structure control system using neural networks
신경회로망을 이용한 가변 구조 제어 시스템의 구현
- Yang, Oh (LGIS R&D Center PLC Lab.) ;
- Yang, Hai-Won (Dept. of Elec. Eng., Hanyang Univ., ERC-ACI of KOSEF)
- Published : 1996.08.01
Abstract
This paper presents the implementation of variable structure control system for a linear or nonlinear system using neural networks. The overall control system consists of neural network controller and a reaching mode controller. While the former approximates the equivalent control input on the sliding surface, the latter is used to bring the entire system trajectories toward the sliding surface. No supervised learning procedures are needed and the weights of the neural network are tuned on-line automatically. The neural netowrk-based variable structure control system is applied to a nonlinare unstable inverted pendulum system through computer simulations, and implemented using a microcomputer (80486-50MHz) and applied to the DC servomotor position control system. Simulation and experimental results show the expected approximation sliding property is occurred. The proposed controller is compared with a PID controller and shows better performance than the PID controller in abrupt plant parameter change.
Keywords