| Title |
Optimal Gain Estimation of PID Controller Using Neural Networks |
| Authors |
박성욱(Park, Seong-Wook) ; 손준혁(Son, Jun-Hyug) ; 서보혁(Seo, Bo-Hyeok) |
| Keywords |
Neural network ; PID gain turning ; PID control ; learning method |
| Abstract |
Recently, neural network techniques are widely used in adaptive and learning control schemes for production systems. However, in general it takes up a lot of time to learn in the case applied in control system. Furthermore, the physical meaning of neural networks constructed as a result is not obvious. And in practice since it is difficult for the PID gains suitably, lots of researches have been reported with respect of turning schemes of PID gains. A neural network-based PID control scheme is proposed, which extracts skills of human experts as PID gains. This controller is designed by using three-layered neural networks. The effectiveness of the proposed neural network-based PID control scheme is investigated through an application for a production control system. This control method can enable a plant to operate smoothy and obviously as the plant condition varies with any unexpected accidents. |