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作 者:袁钢 施建洪[2] 李瑞涛[2] YUAN Gang;SHI Jian-hong;LI Rui-tao(Naval Equipment Department,Shanghai 200436,China;Department of Control Engineering,NAAU,Yantai Shandong 264001,China)
机构地区:[1]海军装备部,上海200436 [2]海军航空工程学院控制工程系,山东烟台264001
出 处:《电子工程学院学报》2019年第1期36-40,共5页Journal of The College of Electronic Engineering
摘 要:针对新型弹道导弹参数及干扰的随机变化性,研究了姿控系统的设计问题。首先,对被控对象的模型进行了描述,使模型的确定量和不确定量相分离;其次,在不确定上界已知的假设下,完成了变结构控制器的设计;再次,在不确定上界未知的假设下,将比例-积分-微分神经网络(PIDNN)理论与变结构理论相结合,利用PIDNN对模型的不确定上界进行估计,完成了PIDNN变结构控制器的设计,并通过Lyapunov稳定性理论对系统的稳定性进行了证明;最后,通过仿真分析,验证了所设计方法的有效性。The design problem of attitude control system for new ballistic missiles was studied to deal with the uncertainty of parameters and disturbance. Firstly, the model of the object was described to separate certain and uncertain parameters. Secondly, variable structure controller was designed on the assumption that upper bound of uncertainties was known. Thirdly, on the assumption that upper bound of uncertainties was unknown, PIDNN variable structure controller was de-signed by integrating variable structure control theory with PIDNN theory which was used to estimate the upper bound of uncertainties and the stability of the system was proved by Lyapunov theory. Finally, the simulation was presented to dem-onstrate the effectiveness of the proposed method.
关 键 词:新型弹道导弹 不确定上界 变结构控制 比例-积分-微分神经网络
分 类 号:TJ765.23[兵器科学与技术—武器系统与运用工程]
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