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为了提高光通信跟踪的控制精度,针对传统PID控制策略存在的一些不足,提出一种基于前馈补偿和PID控制相融合的光通信跟踪策略。该策略通过RBF神经网络对外界扰动和模型误差引起的输出误差进行补偿,对PID控制参数进行在线估计,以提升系统的自适应控制性能,降低PID的控制误差,从而提高光通信系统的跟踪性能,并通过仿真实验对光通信跟踪性能进行分析。实验结果表明,相对于传统PID光通信跟踪控制策略,本文控制策略可以适应被控对象的动态变化特性,获得了更加鲁棒的光通信跟踪系统,提高了光通信跟踪控制效果。
In order to improve the control accuracy of optical communication tracking, aiming at some shortcomings of the traditional PID control strategy, an optical communication tracking strategy based on feedforward compensation and PID control is proposed. The RBF neural network compensates the output error caused by external disturbances and model errors, and online estimates PID control parameters to improve the adaptive control performance of the system and reduce the control error of the PID so as to improve the tracking performance of the optical communication system , And through the simulation experiment to analyze the optical communication tracking performance. The experimental results show that compared with the traditional PID optical communication tracking control strategy, the proposed control strategy can adapt to the dynamic characteristics of the controlled object, obtain a more robust optical communication tracking system and improve the optical communication tracking control effect.