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Research on a New Azimuth Control Method for Stratospheric Balloon-borne Gondola System

机译:平流层气球悬吊系统方位控制新方法的研究

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For a class of non-matching uncertain nonlinear system such as stratospheric balloon-borne gondola azimuth control system, a new robust adaptive multiple sliding mode controller is proposed.In this control method, the virtual and the practical control variables are obtained by designing the multiple sliding modes step-by-step.For avoiding the chattering problem generated by discontinuous input, the traditional sign function is replaced by hyperbolic tangent function.Meanwhile, the CMAC neural network is used to approximate the system uncertainties and the derivative of virtual control input online, which can reduce the conservation of controller parameters design.The system stability analyses show that the control method can guarantee that the output tracking error and slide modes asymptotically convergent to boundary layer.The simulation results show that the controller has higher tracking accuracy, and stronger robust to nonlinear and uncertainty of system, and it also can be applied to other similar non-matching uncertain nonlinear systems.
机译:针对一类非匹配的不确定非线性系统,如平流层气球机载吊舱方位控制系统,提出了一种新的鲁棒自适应多滑模控制器,该控制方法通过设计多个为避免不连续输入产生的颤动问题,用双曲线正切函数代替了传统的符号函数,同时使用CMAC神经网络来近似系统不确定性和在线虚拟控制输入的导数系统稳定性分析表明,该控制方法可以保证输出跟踪误差和滑模渐近收敛于边界层。仿真结果表明,该控制器具有较高的跟踪精度和较强的鲁棒性。对系统的非线性和不确定性具有鲁棒性,也可以应用到其他类似的非匹配不确定非线性系统。

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