Study on adaptive PID algorithm of hydraulic turbine governing system based on fuzzy neural network

被引：0

作者：

Tang Liangbao ^{[1
]}

Bao Jumin ^{[1
]}

机构：

[1] Guilin Univ Elect Technol, Dept Elect Machinery & Transportat Engn, Guilin 541004, Peoples R China

来源：

SENSORS, AUTOMATIC MEASUREMENT, CONTROL, AND COMPUTER SIMULATION, PTS 1 AND 2 | 2006年 / 6358卷

关键词：

hydraulic turbine; governing system; fuzzy neural network; adaptive PID algorithm;

D O I：

10.1117/12.718183

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The conventional hydraulic turbine governing system can't automatically modulate PID parameters according to the dynamic process of the system, the generator speed is unstable and the mains frequency fluctuation results in. To solve the above problem, the fuzzy neural network (FNN) and the adaptive control are combined to design an adaptive PID algorithm based on the fuzzy neural network which can effectively control the hydraulic turbine governing system. Finally, the improved mathematic model is simulated. The simulation results are compared with the conventional hydraulic turbine's. Thus the validity and superiority of the fuzzy neural network PID algorithm have been proved. The simulation results show that the algorithm not only retains the functions of fuzzy control, but also provides the ability to approach to the non-linear system. Also the dynamic process of the system can be reflected more precisely and the online adaptive control is implemented. The algorithm is superior to other methods in response and control effect.

引用

页数：6