解决好战车机动目标模型的动态辨识问题,对提高战车的战技性能及火控系统的进一步发展具有重要的意义。本文提出并设计了把自抗扰控制技术中的扩张状态观测器、跟踪微分器及最小二乘法结合起来用于研究机动目标的动态辨识问题。仿真结果表明,该方法具有速度快,精度好,能够满足实战要求的特点,有效地实现了机动目标动态辨识。
Abstract
It is a significant thing to resolve the problem of dynamic identification of chariot maneuvering target ,which can increase the capability of the chariot in the battle and promote the development of the firepower control system. In this paper, the method of combining expand state observer, track differentiator with least square algorithm related to the active disturbance rejection control technique is brought out and designed . It can be used to study the problem of dynamic identification of maneuvering target. Simulation results indicate that the method can satisfy the demand of actual combat in the respect of speediness and accuracy and be effective in realizing the dynamic identification of maneuvering target.
关键词
线性扩张状态观测器 /
最小二乘法 /
动态模型辨识 /
跟踪微分器
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Key words
Linear expand state observer /
Least square /
Dynamic model identification /
Track differentiator
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参考文献
[1] 韩京清. 一类不确定对象的“扩张状态观测器”.控制与决策[J], 1995, 11(1): 85-88
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[3] 周宏仁,敬忠良,王培德. 机动目标跟踪. 国防工业出版社, 1994第二版
[4]周宏仁. 机动目标当前统计模型与自适应跟踪算法. 航空学报,1983,4(1):73~86
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[6] Moose R L. An adaptive state estimateion soluteion to the maneuvering target problem. IEEE Transactions on Automatic Control,1975,20(6):359-362
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