Design optimization of control parameters for strapdown line-of-sight stable tracking platform based on the taguchi method

The Taguchi method, a powerful tool to design optimization for quality, is used to find the optimal control parameters of strapdown line-of-sight stable tracking platform mounted on the intelligent vehicle to isolate the perception sensors from vehicle angular disturbance and maintain the stability line-of-sight relative to horizontal plane. An orthogonal array, the signal-to-noise(S/N) ratio, and the analysis of variance (ANOVA) are employed to investigation the integrated tracking performance of stable platform. Through this study, not only can the optimal control parameters for line-of-sight stabilization of perception sensors be obtained, but also the significant control parameters that affect the integrated tracking performance in the process of stable tracking for sensor's line-of-sight can be found. The results show that the complex problem such as mutual influence and mutual restriction of multiple influence factors caused by multi gimbals of platform, and the difficulties of determining control parameter accurately can be settled through Taguchi method. The experiment result not only confirmed the effectiveness of this approach, but also lays down an applied foundation for the further studying dynamic control of vehicle-borne strapdown line-of-sight stable tracking platform.