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首页> 外文期刊>International journal of systems science >Fractional order predictive sliding-mode control for a class of nonlinear input-delay systems: singular and non-singular approach
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Fractional order predictive sliding-mode control for a class of nonlinear input-delay systems: singular and non-singular approach

机译:一类非线性输入-延迟系统的分数阶预测滑模控制:奇异和非奇异方法

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摘要

Nonlinear models of physical systems usually suffer from input delay and external disturbances. Moreover, when a delayed state is in the input signal gain, it can be non-singular or singular. So, designing a robust controller in a nonlinear system with input and state delay, suitable for non-singular and singular input signal gain, is imperative. The main contribution of our study is to design a new state feedback fractional order predictive sliding mode control (FOPSMC) procedure which not only guarantees the stability of a nonlinear system with known constant input and state delay but also controls the output signal to the desired value. Firstly, a predictor is designed for the system to achieve an input-delay-free one. Then, a state feedback FOPSMC is proposed based on a fractional order sliding signal for a nonlinear system with non-singular control gain. Also, a state feedback FOPSMC and a fractional order sliding mode observer (FOSMO) for the virtual disturbance are designed for singular control gain situation. It is proved analytically, through the Lyapunov stability criteria, that both control procedures can stabilise the system and can control the output signal to the desired value, effectively. Finally, the simulation results verify the effectiveness of the analytical achievements.
机译:物理系统的非线性模型通常遭受输入延迟和外部干扰。而且,当延迟状态处于输入信号增益中时,它可以是非奇异的或奇异的。因此,必须在具有输入和状态延迟的非线性系统中设计一种鲁棒的控制器,以适应非奇异和奇异的输入信号增益。我们研究的主要贡献是设计一种新的状态反馈分数阶预测滑模控制(FOPSMC)程序,该程序不仅可以保证具有已知恒定输入和状态延迟的非线性系统的稳定性,而且可以将输出信号控制为所需值。首先,为系统设计了一个预测器,以实现无输入延迟的预测器。然后,基于分数阶滑动信号,针对具有非奇异控制增益的非线性系统,提出了一种状态反馈FOPSMC。此外,针对奇异控制增益情况设计了用于虚拟干扰的状态反馈FOPSMC和分数阶滑模观察器(FOSMO)。通过Lyapunov稳定性标准分析证明,这两种控制程序都可以使系统稳定,并且可以有效地将输出信号控制到所需值。最后,仿真结果验证了分析结果的有效性。

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