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Nonlinear adaptive robust control of hydraulic actuators regulated by proportional directional control valves with deadband and nonlinear flow gains

机译:具有死区和非线性流量增益的比例方向控制阀调节液压执行器的非线性自适应鲁棒控制

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This paper studies the motion control of single-rod hydraulic actuators regulated by proportional directional control (PDC) valves with deadband and nonlinear flow gains. The boom motion control of a hydraulic robot arm driven by a single-rod hydraulic actuator is used as a case study. The experimental system dynamics are highly nonlinear. In addition, the system has large extent of modeling uncertainties such as the variation of payload and friction forces. Furthermore, the PDC valve used to regulate the control flow rate to the hydraulic actuator has a large extent of deadband and a very nonlinear flow gain coefficient right out of the deadband region. These issues make the precision control of such a system difficult. To deal with these issues, the paper presents a discontinuous projection based adaptive robust controller. Direct inverse is used to compensate for the effect of the valve deadband, and certain straight-line approximations are used to model the nonlinear flow gain coefficient of the valve. The approximation error of the nonlinear flow mapping is deal with via certain robust feedback. Theoretically, the proposed adaptive robust control (ARC) guarantees a prescribed output tracking transient performance and final tracking accuracy while achieving asymptotic output tracking in the presence of parametric uncertainties. Comparative experimental results are presented to illustrate the proposed control algorithm and the practical difficulties in controlling such a complex nonlinear dynamic system.
机译:本文研究了由具有死区和非线性流量增益的比例方向控制(PDC)阀调节的单杆液压执行器的运动控制。以单杆液压执行器驱动的液压机器人手臂的动臂运动控制为案例研究。实验系统动力学是高度非线性的。另外,该系统具有很大程度的建模不确定性,例如有效载荷和摩擦力的变化。此外,用于调节至液压执行器的控制流量的PDC阀具有很大的死区,并且刚好在死区区域之外具有非常非线性的流量增益系数。这些问题使这种系统的精确控制变得困难。为了解决这些问题,本文提出了一种基于不连续投影的自适应鲁棒控制器。直接逆用于补偿阀死区的影响,某些直线近似值用于建模阀的非线性流量增益系数。非线性流映射的近似误差通过一定的鲁棒反馈来处理。从理论上讲,所提出的自适应鲁棒控制(ARC)保证规定的输出跟踪瞬态性能和最终跟踪精度,同时在存在参数不确定性的情况下实现渐近输出跟踪。给出了比较实验结果,以说明所提出的控制算法以及控制这种复杂的非线性动态系统的实际困难。

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