A neural networks based direct inverse controller for Pressure Process Rig® system is presented, including with the performance analysis using an open-loop and a closed loop system. In order to enhance the performance characteristics of this direct inverse controller, a Fine-Tuning method is proposed. Experimental results show that the open-loop system shows lower MSE compare with that of the closed-loop system, and the Fine-Tuned NN-DIC method always performed better with lower MSE compare with that of the normal NN-DIC method.
|Number of pages||6|
|Journal||ARPN Journal of Engineering and Applied Sciences|
|Publication status||Published - 18 Nov 2015|
- Back propagation learning
- Direct inverse controller
- Fine-tuned DIC method
- Neural networks