改进天牛须算法对滑翔炸弹控制器的优化设计
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引用本文:刘春鹏,易文俊.改进天牛须算法对滑翔炸弹控制器的优化设计[J].计算技术与自动化,2021,(4):14-20
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刘春鹏,易文俊 (南京理工大学 瞬态物理国家重点实验室江苏 南京 210094) 
中文摘要:对于采用BTT控制策略的滑翔炸弹这一复杂非线性系统,经过线性化处理后运用分通道设计的思路,来分别对俯仰偏航双通道进行设计。首先描述了其动力学模型,在对该模型分析的基础上,提出了添加混沌扰动的改进天牛须搜索算法,在每次迭代过程中对步长进行了自适应的动态调整,从而设计了基于此算法优化的LQR控制器。经Simulink仿真后对结果进行分析,改进优化算法其优化结果可以更好的跳出局部最优点,且在不同马赫数下设计的控制器都可以较好的满足系统的输出要求,同时也克服了以往经验试凑参数的非通用弊端,从而更好的满足在线调节的要求。
中文关键词:天牛须算法  混沌扰动  LQR  线性化  分通道设计
 
Design of Control System for Gliding Bombs Optimized by improve Beetle Antennae Search algorithm
Abstract:For the complex nonlinear system of the gliding bomb that adopts the BTT control strategy, after linearization processing, the idea of sub-channel design is used to design the pitch and yaw dual channels respectively. Firstly, the dynamic model is described. Based on the analysis of the model, an improved beetle antennae search algorithm with chaotic disturbance is proposed. The step length is dynamically adjusted during each iteration, thus designing LQR controller optimized based on this algorithm. The results are analyzed after Simulink simulation, and the optimization algorithm is improved. The optimization results can better jump out of the local optimum. And the controllers designed under different Mach numbers can better meet the output requirements of the system, and also overcome the past Experience the non-universal drawbacks of the parameters, so as to better meet the requirements of online adjustment.
keywords:Beetle Antennae Search algorithm  chaotic disturbance  LQR  linearization  sub-channel design
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