首页> 外文会议>ASME conference on smart materials, adaptive structures and intelligent systems;SMASIS2011 >ADAPTIVE OUTPUT FEEDBACK CONTROL OF THE IPMC PROPELLED VEHICLE WITH UNKNOWN HIGH FREQUENCY GAIN MATRIX
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ADAPTIVE OUTPUT FEEDBACK CONTROL OF THE IPMC PROPELLED VEHICLE WITH UNKNOWN HIGH FREQUENCY GAIN MATRIX

机译:带有未知增益矩阵的IPMC推进式车辆的自适应输出反馈控制

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This paper presents model reference adaptive control (MRAC) of underwater vehicle propelled by the Ionic polymer metal composite (IPMC) actuator. Trajectories of the vehicle are controlled by simultaneously controlling the bias and amplitude of the sinusoidal voltage applied to the IPMC actuator attached at the real end of the vehicle. It is assumed that the system parameters as well as high frequency gain matrix are unknown. Using Lyapunov stability theory and factorization of the high frequency gain matrix, an adaptive output feedback control is designed for trajectory control of a heading angle and a speed of the vehicle. In the proposed approach, SDU (Square Diagonal and Upper triangular matrix) decomposition of the high frequency gain (HFG) matrix is used. Only signs of the leading principle minors of the HFG matrix are assumed to be known. Simulations results are presented to show that precise trajectory control of the heading and speed is achieved in spite of the coupling between controlled variables.
机译:本文介绍了由离子聚合物金属复合材料(IPMC)驱动器推动的水下航行器的模型参考自适应控制(MRAC)。通过同时控制施加到附在车辆真实端部的IPMC执行器上的正弦电压的偏置和幅度来控制车辆的轨迹。假定系统参数以及高频增益矩阵都是未知的。利用Lyapunov稳定性理论和高频增益矩阵的因式分解,设计了一种自适应输出反馈控制,用于航向角和车辆速度的轨迹控制。在提出的方法中,使用了高频增益(HFG)矩阵的SDU(平方对角和上三角矩阵)分解。假设仅知道HFG矩阵的主要原理次要符号。仿真结果表明,尽管控制变量之间存在耦合,但仍可实现精确的航向和速度轨迹控制。

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