Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications
In this paper, a correction method for truncation error of dynamic matrix control is studied. A truncation error correction method is designed by using the law of the dynamic change of control system. Firstly, the predictive initial value is calculated using different compensation parameters and the difference between the last two components of the predicted initial value vector is obtained. Secondly, the compensation parameter is fitted based on RBF neural network. Finally, the compensation parameter is used to correct error during feedback correction. Numerical experiments show that the proposed method can improve the overshoot and hysteresis characteristics of the system.
- 2019 Springer
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