Tuning of PID Controllers Based on System Parameters:A Fuzzy Neural Approach

• Main Authors: Chong-Ping Liu, 劉聰平
• Other Authors: Ching-Cheng Teng
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/60798929258362479644

碩士 === 國立交通大學 === 電機與控制工程系 === 88 === In the thesis, we present a PID tuning method using the Fuzzy Neural Network (FNN) based on system parameters. PID tuning methods were widely used for stable processes, or some over-damped unstable processes. However, PID controller for under-damped unstable processes and higher order unstable processes is less common. An FNN approach is proposed to identify the relationship between system parameters and the PID controller parameters that meets the performance index. Then, the FNN is used to automatically tune the PID controller parameters for different system parameters so that neither numerical methods nor graphical methods need be used. Even though for some of the heavily oscillatory processes, the FNN still can find a suitable PID controller parameters. Simulation results show that the FNN can achieve the specified values efficiently.