Quantitative feedback theory and zero phase error tracking control combined robust control for radar truck leveling simulator

被引:1
作者
凌轩
李晓辉
朱玉泉
冯天麟
机构
[1] SchoolofMechanicalScienceandEngineering,HuazhongUniversityofScienceandTechnology
关键词
D O I
暂无
中图分类号
TN955 [雷达系统模拟];
学科分类号
080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ;
摘要
Radar leveling system is the key equipment for improving the radar mobility and survival capability. A combined quantitative feedback theory (QFT) controller is designed for the radar truck leveling simulator in this paper, which suffers from strong nonlinearities and system parameter uncertainties. QFT can reduce the plant uncertainties and stabilize the system, but it fails to obtain high-precision tracking. This drawback can be solved by a robust QFT control scheme based on zero phase error tracking control (ZPETC) compensation. The combined controller not only possesses high robustness, but greatly improves the system performance. To verify the effiectiveness and the potential of the proposed controller, a series of experiments have been carried out. Experimental results have demonstrated its robustness against a large range of parameters variation and high tracking precision performance, as well as its capability of restraining the load coupling among channels. The combined QFT controller can drive the radar truck leveling platform accurately, quickly and stably.
引用
收藏
页码:384 / 390
页数:7
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