模糊滑模自适应控制及其在电厂热工过程中的应用

Research on Fuzzy Sliding-Model Adaptive Control and Its Application in Thermal Engineering Processes of Power Plants

通过一种新学习算法的导出,并结合模糊逻辑系统中的模糊基函数,给出了一种带有通用规则库的模糊滑模自适应控制器。这种控制器能够在线自动调整参数,能对热工过程中的大惯性大迟延对象进行有效的控制。当对象参数变化或存在较大扰动的情况下,仍能保持很好的控制品质。该方法已被用于某电厂主汽压力控制系统。仿真结果表明:该算法具有良好的控制品质和很强的鲁棒性。

A versatile fuzzy sliding-model adaptive controller with a bank of general rules is being presented on the basis of a newly derived self-learning algorithm, in combination with fuzzy based functions of a fuzzy logic system. The controller is capable of automatically on-line adjustment of parameters, and effectively control objects, which are characterized by large inertia or long time lag, in various thermal engineering processes. With this controller, good control quality can be maintained even under conditions when the controlled objects ( parameters are subjected to large variations or disturbances. The proposed method has already been applied to fresh-steam pressure control systems of power plants. Simulation results show that this algorithm is characterized by sound control quality and strong robustness.