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Robust Adaptive Backstepping Sliding Mode Control for a Class of Uncertain Nonlinear System

机译:一类不确定非线性系统的鲁棒自适应反演滑模控制

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For a class of non-strict feedback nonlinear system, a new sliding mode variable structure control (SMVSC) combined with backstepping method is proposed. The unknown uncertainties of the system are estimated online by the fuzzy logic system (FLS). And in the design of backstepping method the nonlinear command filter is used to differentiate the virtual control signals, which avoids the complexity expansion in the backstepping iterative process. The sliding surface was designed using the backstepping method. And this article proposes a new class of fuzzy adaptive backstepping sliding mode control strategies. The system proved to be stable using the Lyapunov function and all the system's signals are bounded. Finally, the simulation results of numerical simulation examples further illustrate that the new control strategies have better control effect.
机译:针对一类非严格反馈非线性系统,提出了一种新的滑模变结构控制与反推相结合的方法。系统的未知不确定性由模糊逻辑系统(FLS)在线估算。在反推方法的设计中,使用非线性指令滤波器来区分虚拟控制信号,避免了反推迭代过程中复杂度的扩大。滑动表面是使用反步法设计的。并提出了一种新型的模糊自适应反推滑模控制策略。使用Lyapunov函数证明该系统是稳定的,并且系统的所有信号都是有界的。最后,数值算例的仿真结果进一步表明,新的控制策略具有较好的控制效果。

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