The characteristics of thermal plant are nonlinearity, time variation and uncertainty during variable condition. It is difficult to obtain the satisfying control effect with traditional PID controller. In order to solve this problem, a modified fuzzy adaptive PID control algorithm is proposed in the paper. The method is attained by optimizing the traditional fuzzy PID control algorithm based on analysis of the thought of changing universe and online self-tuning. Under the premise of unchanging rules number, make whole universe changes in synchronization with error change, and online adjust the fuzzy PID parameters. So the fuzzy rules of proposed controller are online dynamic adjustment. A series of simulation are tested. The simulation results indicate that, compared with conventional PID control method, the proposed method can not only shorten the step input response time, but also have stronger adaptive capability to the unknown disturbance, parameter time variable character and nonlinear of the system. The proposed algorithm can obtain satisfactory dynamic and stationary performances.
[1]
Hong Jun.
Application of Feedwater and Dosing for Power Plant Based on Adaptive Fuzzy PID Control
,
2010
.
[2]
Kazuo Tanaka,et al.
Stability analysis and design of fuzzy control systems
,
1992
.
[3]
Qian Cheng-shan,et al.
Multi-model Switching Control for Nonlinear Systems Based on Local T-S Models
,
2007
.
[4]
Zhu Zhang-qing.
Fuzzy Self-Tuning PID Control of the Boiler Drum Level
,
2008
.
[5]
Igor Škrjanc,et al.
Predictive functional control based on fuzzy model: magnetic suspension system case study
,
2003
.
[6]
Michio Sugeno,et al.
Fuzzy identification of systems and its applications to modeling and control
,
1985,
IEEE Transactions on Systems, Man, and Cybernetics.