Predictive Control Algorithm with Error Estimation and Time Delay Identification
- Received Date: 2005-09-22
- Publish Date: 2005-12-15
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Key words:
- time delay /
- identification /
- neural network /
- error compensating
Abstract: Competitive advantage of Artificial Neural Network (ANN) compensation control is that it can overcome the time delay, which is of vital importance in process control. ANN identify time lag in the system, and is modified through error compensation method. Feedback of control system comes from the output of nonlinear ANN without time lag. Predictive control strategy is used to improve the performance of overall system. Simulation test shows the algorithm has little response time and strong adaptability and robustness; it can overcome the degradation introduced by time delay and disturbance in system; fine performance of control is acquired.
Citation: | WANG Jia-xiang, HE Xin. Predictive Control Algorithm with Error Estimation and Time Delay Identification[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(6): 817-820. |