【摘 要】
：
介绍了人工神经元PID调节器基本概念。在控制系统建模过程中假设了边界条件,对水鸟进行了受力分析,确定了水鸟运动方程;绘制了控制系统原理图;建立了基于人工神经元PID调节器
【机 构】
：
上海交通大学海洋工程国家重点实验室,
论文部分内容阅读
介绍了人工神经元PID调节器基本概念。在控制系统建模过程中假设了边界条件,对水鸟进行了受力分析,确定了水鸟运动方程;绘制了控制系统原理图;建立了基于人工神经元PID调节器的控制模型。利用Simulink软件建立了仿真程序,对运用人工神经元PID调节器的水鸟在受到深度方向上的干扰情况下深度位置的变化情况进行了仿真。将仿真结果与传统PID控制系统仿真结果进行比较,发现运用人工神经元PID调节器控制效果得到了改进。
The basic concepts of artificial neuron PID regulator are introduced. In the process of modeling the control system, the boundary conditions are assumed, the waterfowls are subjected to force analysis, the waterfowl equation of motion is determined, the schematic diagram of the control system is drawn, and the control model based on artificial neuron PID regulator is established. Simulink software was used to establish a simulation program to simulate the changes of depth position of waterbirds using artificial neuron PID controller in the depth direction. The simulation results with the traditional PID control system simulation results were compared and found that the use of artificial neuron PID regulator control effect has been improved.
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