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提出了一种前馈模糊神经非模型协调控制方法。使用该方法设计的非模型控制器由模糊控制器和神经元控制器复合构成 ,针对某单元机组进行了实例仿真试验。结果表明 :这种新的控制方法不仅具有满意的控制性能 ,而且具有强鲁棒性和抗干扰性能 ,它显著地提高了协调控制系统在机组负荷及工况变化时的鲁棒性和控制品质。这种新的控制系统设计方法非常简单 ,不需要解耦补偿 ,而且控制器参数选择不严格 ,可方便地用于工业控制。图 7参 9
A feedforward fuzzy neural non-model coordinated control method is proposed. The non-model controller designed by this method is composed of the fuzzy controller and the neuron controller, and an example simulation test is performed on a unit unit. The results show that this new control method not only has satisfactory control performance but also has strong robustness and anti-jamming performance. It significantly improves the robustness and control quality of the coordinated control system under load and operating conditions of the unit . This new control system design method is very simple, does not require decoupling compensation, and the controller parameter selection is not strict, can be easily used for industrial control. Figure 7 参 参