基于自适应模糊PID控制的水轮机调节系统

针对水轮机的大惯性和"水锤"效应,以及水轮机调节系统各环节的时变非线性特性,传统的PID控制很难改善其控制品质,容易产生超调量大、摆动时间长、波动频繁以及调节"迟钝"等现象。为此,在水轮机调节系统中引入了有功功率反馈来取代主接力器位移反馈,同时设计了一个基于模糊控制的变参数PID控制器,利用模糊控制的专家推理能力实现在线调整PID参数,来改善系统控制品质。而且还结合水轮机调节系统变工况和扰动情况,利用模糊逻辑工具箱对自适应模糊PID控制模型进行仿真。结果表明,该系统具有更好的跟随性能,稳态精度高,超调量明显较小,具有较强的自适应性和鲁棒性能。

Hydraulic turbine regulating system based on adaptive fuzzy intelligent PID controller

Due to the large inertia and the water hammer effect of hydraulic turbine, and time-varying nonlinear characteristic of each link of the turbine regulating system, traditional PID controller is found inadequate to improve the control quality and likely to cause high overshoot, long-term oscillation, volatility, hysteretic adjustment. According to these problems, the active power feedback is incorporated into the regulating system to replace the displacement feedback of the main servomotor and a PID parameters controller based on fuzzy control is designed to adjust PID parameters online through expert's reasoning capability of fuzzy control, which can in turn improve the control quality. According to the various operation modes and disturbance situation of the turbine regulating system, simulation of the adaptive fuzzy PID controller model is conducted drawing on the fuzzy logic toolbox. The results show that the system has a better tracking performance, high accuracy, significantly lower overshoot, strong adaptability and robustness. 