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电厂主汽温被控对象是一个典型的变参数、强扰动的对象,常规的PID控制器难以满足控制要求。针对此问题,设计了模糊滑模控制策略。采用模糊规则,估计出系统中未知的不确定因素。同时用一个合适的饱和函数替代切换函数中的符号函数,有效地减弱了系统颤振。证明了该控制策略的稳定性。仿真结果显示,在参数慑动变化和出现强扰动的情况下,模糊滑模控制策略比传统的PID控制器有更加优良的性能。
Controlled power plant main steam temperature is a typical variable parameters, strong disturbance of the object, the conventional PID controller is difficult to meet the control requirements. To solve this problem, a fuzzy sliding mode control strategy is designed. Using fuzzy rules, we estimate the unknown uncertainties in the system. At the same time, the symbol function in the switching function is replaced by an appropriate saturation function, which effectively weakens the system flutter. The stability of this control strategy is proved. The simulation results show that the fuzzy sliding mode control strategy has more excellent performance than the traditional PID controller under the condition of deteriorating parameters and strong disturbance.