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Multi-dimensional Taylor Network Optimal Control in Plane Symmetrical Cruise Missile Flight for Attacking Static Targets

机译:平面静态巡航导弹攻击静态目标的多维泰勒网络最优控制

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The performance of cruise missile depends largely on its guidance and control system. Therefore, it is essential to study the guidance and control system of cruise missile so as to promote operational effectiveness of cruise missile. In this paper, a guidance and control system of plane symmetrical cruise missile is designed for attacking static targets. A novel method named MTN (multi-dimensional Taylor network) is introduced and the controller is designed based on MTN optimal control not requiring controlled object models. Finally, full channels simulations considering coupling among the channels are conducted to test the performance of MTN optimal controller compared to optimal PID and SMC (sliding mode control needing the precise missile mechanism model) controllers. The results show that system with MTN optimal controller has the highest hit accuracy and shortest strike time, which validates the effectiveness of MTN optimal controller.
机译:巡航导弹的性能在很大程度上取决于其制导和控制系统。因此,研究巡航导弹的制导控制系统对提高巡航导弹的作战效能至关重要。本文设计了一种用于攻击静态目标的平面对称巡航导弹制导控制系统。介绍了一种新颖的方法,即MTN(多维泰勒网络),并基于不需要控制对象模型的MTN最优控制设计了控制器。最后,进行了考虑通道间耦合的全通道模拟,以测试MTN最佳控制器与最佳PID和SMC(需要精确导弹机构模型的滑模控制)控制器相比的性能。结果表明,带有MTN最优控制器的系统具有最高的命中精度和最短的打击时间,证明了MTN最优控制器的有效性。

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