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双旋弹丸弹道修正组件控制响应模型研究

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双旋弹丸弹道修正组件控制响应模型研究
Roll Control Response Model of the Dual-Spin Trajectory Correction Component
投稿时间:2017-03-13
DOI:10.15918/j.tbit1001-0645.2018.02.013
中文关键词:兵器科学与技术弹道修正双旋弹滚转控制控制响应
English Keywords:ordnance science and technologytrajectory correctiondual-spin projectileroll controlcontrol response
基金项目:国家自然科学基金资助项目(61201391,11402121)
作者单位E-mail
殷婷婷南京理工大学 智能弹药技术国防重点学科实验室, 江苏, 南京 210094
贾方秀南京理工大学 智能弹药技术国防重点学科实验室, 江苏, 南京 210094jiafangxiu@126.com
于纪言南京理工大学 智能弹药技术国防重点学科实验室, 江苏, 南京 210094
王晓鸣南京理工大学 智能弹药技术国防重点学科实验室, 江苏, 南京 210094
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中文摘要:
为提高靶场试验中修正组件的打击精度,获得更好的滚转控制效果,评估滚转控制算法和弹道修正策略的性能,建立具有实际指导意义的双旋弹丸弹道修正弹修正组件控制响应模型,提出了一种数值仿真与试验测试相结合的执行机构建模方法.该方法通过获取双旋执行机构在阶跃冲击下的时域响应特性,结合拉氏变换计算传递函数,建立电磁控制力矩动态响应模型;通过飞行试验进一步获得准确的气动力矩和隔转阻尼力矩模型,建立了双旋弹道修正组件固定鸭舵滚转控制响应模型.风洞环境下的控制试验结果表明:双旋弹丸弹道修正组件控制响应模型能够以较高的精度评估组件动态控制响应特性,误差小于1.5%.试验验证了建模方法的可行性,也为后续弹道修正策略和控制算法研究提供了精确可靠的分析模型.
English Summary:
In order to improve the attacking accuracy of the firing range test,an actuator roll control response model of the dual-spin trajectory correction projectile was built,to get the real-time control effect within the whole trajectory and evaluate the performance of different control algorithms and trajectory correction strategies.An actuator modeling method was proposed based on numerical simulation and experimental tests.The time-domain response characteristics under the step impact were recorded to conduct the transfer function analysis with the(inverse)Laplace transformation so that the dynamic electromagnetic torque model could be established.Based on experimental data in combination with the numerical simulation,the accurate aerodynamic and damping moment model was built,thus,the overall control response prediction model was established.It is shown by the roll control experiments in the wind tunnel that the established system model is able to predict the actual dynamic responding performance with a high degree of accuracy (less than 1.5%).The method for system modeling is proved to be feasible and provides an accurate and reliable analysis model for future research.
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