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提出了一种基于神经网络BP算法的模糊自适应控制器 ,通过BP算法 ,修正量化因子和比例因子 ,使模糊控制器具有自适应的能力。计算机仿真结果和实验表明 ,这种智能控制器超调小、响应快且具有良好的鲁棒性。
A fuzzy adaptive controller based on neural network (BP) algorithm is proposed. The BP algorithm is used to correct the quantization and scaling factors so that the fuzzy controller can adapt itself. Computer simulation results and experiments show that this intelligent controller overshoot small, fast response and good robustness.