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Predictive Control of a Supercavitating Vehicle Based on Time-Delay Characteristics

机译:基于时滞特性的超透视车辆的预测控制

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Supercavitation technology can greatly improve the speed of underwater vehicles by reducing drag. However, the time-delay characteristic of a supercavitating vehicle presents control challenge. In this paper, a linear parameter-varying (LPV) time-delay model for a supercavitating vehicle is established by analysing the time-delay characteristics of the planing force. Moreover, considering that the cavitation radius is easily perturbed by external disturbances, a supercavitating LPV delay model depicted as a polytope is established. Based on the model, a predictive controller based on time-delay characteristics is designed. The controller can solve linear matrix inequalities (LMI) online to find the optimal solution at a given moment. In addition, the controller introduces a different Lyapunov function and multiple free control variables to reduce the system’s conservativeness and expand the system’s initial feasible region, which can improve the control performance of the system. A simulation verifies that the system exhibits good stability and robustness.
机译:超级灯技术可以通过减少阻力来大大提高水下车辆的速度。然而,超级泄压车辆的时滞特性提出了控制挑战。在本文中,通过分析刨力的时滞特性来建立用于超级泄压车辆的线性参数变化(LPV)时延模型。此外,考虑到空化半径容易受到外部干扰的扰动,建立了作为多容灶描绘的超级渗透LPV延迟模型。基于该模型,设计了一种基于时间延迟特性的预测控制器。控制器可以在线解决线性矩阵不等式(LMI),以在给定时刻找到最佳解决方案。此外,控制器还引入了不同的Lyapunov函数和多个自由控制变量,以降低系统的保守性并扩展系统的初始可行区域,可以提高系统的控制性能。模拟验证系统呈现良好的稳定性和鲁棒性。

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