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Linear quadratic optimal guidance with obstacle avoidance

机译:避免障碍物的线性二次最优引导

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The paper applies linear quadratic optimal control to the problem ofrnintercepting a maneuvering target while avoiding a static obstacle by arnspeciu001ced avoidance distance. The guidance law is expressed as the clas-rnsical (augmented) proportional navigation type guidance, with optimalrneu001bort performance, with an additional correction term that achieves ob-rnstacle avoidance. The minimum avoidance distance is a parameter of thernguidance algorithm. The performance of the guidance algorithm is illus-rntrated using simulation results, both on the ideal, linear intercept model,rnthat is used for guidance algorithm derivation, as on the more realisticrnnonlinear kinematics intercept model.
机译:本文针对线性机动最优问题,提出了一种以机动避障距离为目标,在避开静态障碍物的同时拦截机动目标的问题。该制导律表示为具有最佳rneu001bort性能的经典(增量式)比例导航类型制导,并带有实现避障的附加校正项。最小回避距离是引导算法的参数。指导算法的性能是通过仿真结果来说明的,在理想的线性截距模型上(用于指导算法推导),以及在更现实的非线性运动学截距模型上,都通过仿真结果进行了说明。

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