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Application of Adaptive Inverse Control in Control Loading System of Flight Simulator based on rapid prototyping of RT_LAB

机译:基于RT_LAB快速原型的自适应逆控制在飞行仿真器控制加载系统中的应用。

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Adaptive Inverse Control(AIC) based on Recursive Least Square(RLS) is applied in Control Loading System(CLS) of Flight Simulator(FS) .The algorithm was used to improve position tracking accuracy as an inner loop of CLS. This paper presents the implementation of a rapid prototyping control system based on RAT-LAB simulation environment, which involves the design of AIC and RLS algorithms using MATLAB/Simulink blocksets. The effectiveness of AIC was verified by mean of the analysis of the experiment results such as the comparison of reference signal and position output response signal, the change of frequency bandwidth. Finally, the accuracy of identification was pointed out via experiment that is a critical factor of the AIC.
机译:将基于递推最小二乘(RLS)的自适应逆控制(AIC)应用于飞行模拟器(FS)的控制加载系统(CLS)中,该算法被用作提高位置跟踪精度的CLS内环。本文提出了一种基于RAT-LAB仿真环境的快速原型控制系统的实现,其中涉及使用MATLAB / Simulink块集设计AIC和RLS算法。通过对参考信号与位置输出响应信号的比较,频率带宽的变化等实验结果的分析,验证了AIC的有效性。最后,通过实验指出了识别的准确性,这是AIC的关键因素。

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