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Absolutely Robust Control Systems

机译:绝对坚固的控制系统

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A new approach to constructing robust feedback control systems for nonlinear nonstationary SISO plants with an incomplete mathematical model is proposed. Based on the Lyapunov function method, the initial system is transformed into a degenerate linear system (reduced system) with components of a model of an indeterminate plant being involved in its right part. The robust control strategy lies in suppressing a plant's model as a potential source of parasite dynamics and reducing the reduced system to a homogeneous equation. The proposed OBS suppressor hyperobserver of a model's dynamics allows one to reduce the effect of various uncertainties to an indefinitely small value with the simultaneous preservation of the desired dynamics of the reduced system. The desired qualitative characteristics of the reduced system are set by choosing the tuning parameters of a PD controller of the (n - 1)th order. The contrastive analysis of the solutions to a benchmark problem using the Matlab/Simulink package leads to a number of conclusions that are of great practical importance.
机译:提出了一种建立具有不完整数学模型的非线性非平稳SISO工厂鲁棒反馈控制系统的新方法。基于Lyapunov函数方法,将初始系统转换为退化线性系统(归约系统),其中不确定的植物模型的组件包含在其右侧。鲁棒的控制策略在于抑制作为寄生虫动力学潜在来源的工厂模型,并将简化后的系统简化为齐次方程。所提出的OBS抑制器模型动力学的超观测器允许人们将各种不确定性的影响降低到无限小的值,同时保留简化系统的期望动力学。通过选择第(n-1)阶PD控制器的调整参数,可以设置简化系统的所需定性特性。使用Matlab / Simulink软件包对基准问题的解决方案进行了对比分析,得出了许多具有重要实际意义的结论。

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