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为对时变大纯滞后系统实现快速有效的实时控制 ,将单神经元与 L evinson预测器相结合采用比例积分微分调节器 (PID)控制方式 ,设计了单神经元预测控制器 ,其权值和可整定参数能够在线自适应调整 ,克服了大滞后对象控制结果不能及时反馈的不足。应用该控制策略对大滞后一阶和二阶对象的仿真研究表明 ,对大滞后时变系统具有很强的适应性和鲁棒性 ,各种控制性能明显优于常规 PID等其它控制
In order to realize fast and effective real-time control of time-varying large-net-delay system, a single-neuron predictive controller is designed by combining single-neuron and L evinson predictor with proportional-integral-derivative controller And the adjustable parameters can be adjusted online adaptively, overcoming the shortcomings of large lag object control results can not be timely feedback. The simulation results of the first-order and second-order objects with large lag show that the proposed control strategy is robust and adaptable to large time-delay lag-time systems. The control performance is obviously superior to that of conventional PID control