基于单神经元PID 水平炮控系统稳定控制 |
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引用本文: | 瞿万里. 基于单神经元PID 水平炮控系统稳定控制[J]. 兵工自动化, 2023, 42(11): 33-37 |
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作者姓名: | 瞿万里 |
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作者单位: | 南京理工大学机械工程学院 |
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摘 要: | 为保证坦克行进间炮塔始终处于稳定位置,针对系统齿隙进行非线性补偿。利用径向基函数(radical basis function,RBF)神经网络对炮塔水平方向调速系统进行系统辨识,同时采用齿隙死区模型代表齿隙环节,建立水平向的模拟炮控系统;提出一种单神经元PID控制器;模拟外界扰动,利用计算机对控制过程完成仿真。仿真结果表明:在给定条件下,考虑齿隙因素,炮塔水平向位置与稳定位置的误差始终足够小。
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关 键 词: | RBF神经网络 齿隙死区模型 模拟炮控系统 单神经元PID |
收稿时间: | 2023-07-02 |
修稿时间: | 2023-08-05 |
Stability Control of Horizontal Gun Control System Based on Single-neuron PID |
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Abstract: | In order to keep the tank turret in a stable position during the march, the nonlinear compensation of thesystem backlash is carried out. The radial basis function (radical basis function, RBF) neural network is used to identify theturret horizontal speed control system, and the dead zone model of backlash is used to represent the backlash link toestablish the horizontal simulation gun control system; Simulate the external disturbance, and use the computer to completethe simulation of the control process. The simulation results show that under the given conditions, the error between thehorizontal position and the stable position of the turret is always small enough when considering the backlash factor. |
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Keywords: | RBF neural network backlash dead zone model simulated gun control system single-neuron PID |
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