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Robust adaptive control and applications to friction and backlash compensation.

机译:鲁棒的自适应控制及其在摩擦和间隙补偿中的应用。

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In this dissertation two common problems that arise in servo-mechanical applications are addressed. The problems of friction and backlash are especially evident when gears are used. In the first part of the dissertation, a nonlinear robust adaptive controller is proposed for friction compensation. The design has been performed for a six parameter dynamic model of friction. The advocated control design does not utilize any knowledge of these six parameters and requires just an upper bound on the static friction level, which can be easily obtained experimentally. Furthermore, the controller is robust to dynamic uncertainties in the friction model. Therefore, a robust cancellation of friction effects is achieved. The results are further extended to the case where drive compliance is present and friction is present both on the motor and the load side. This is a challenging problem that arises in many applications. In this case, the controller is robust to dynamic uncertainties and can compensate the effects of friction which is separated from the control input through drive compliance. Results of extensive simulation and experimental studies highlight the efficacy of the proposed scheme.; In the second part of the dissertation, an adaptive nonlinear controller is proposed to control systems with backlash. A similar solution is utilized to solve the problem of backlash when it occurs at the input of a plant as an actuator nonlinearity. A new model for backlash inverse is developed and used in conjunction with a PD-controller in order to minimize the effect of backlash. The backlash inverse model is a compact dynamical model and is simpler to implement than existing schemes (1-3). The backlash parameter is assumed to be unknown and an adaptive update law estimates its value. The stability of the closed-loop system is shown using Lyapunov arguments. Simulation results show that the control methodology greatly improves tracking performance over a PD type controller.; In the third part of the dissertation, the combined effects of friction and backlash on systems are considered. A variable structure controller in conjunction with an adaptive backlash inverse is used to reduce the effect of friction and output backlash. In the case of input backlash, a variable structure controller is shown to achieve global asymptotic tracking and regulation. Simulations of a second-order system with friction and backlash are presented.
机译:本文研究了伺服机械应用中出现的两个常见问题。当使用齿轮时,摩擦和间隙的问题尤其明显。论文的第一部分提出了一种非线性鲁棒自适应控制器,用于摩擦补偿。该设计已针对六参数摩擦动态模型进行。提倡的控制设计不使用这六个参数的任何知识,仅需要静摩擦水平的上限,可以通过实验轻松获得。此外,该控制器对于摩擦模型中的动态不确定性具有鲁棒性。因此,实现了摩擦效果的牢固消除。结果进一步扩展到存在驱动顺从性且电动机和负载侧都存在摩擦的情况。这是在许多应用中出现的具有挑战性的问题。在这种情况下,控制器对动态不确定性具有鲁棒性,并且可以补偿因驱动顺从性而与控制输入分离的摩擦影响。广泛的仿真和实验研究结果突出了该方案的有效性。在论文的第二部分,提出了一种自适应非线性控制器来控制带有间隙的系统。利用类似的解决方案来解决当在装置的输入端发生反冲时,由于执行器非线性而引起的反冲问题。开发了一种用于反冲反向的新模型,并将其与PD控制器结合使用,以最大程度地减小反冲的影响。间隙反向模型是一个紧凑的动力学模型,比现有方案(1-3)更易于实现。假定间隙参数未知,并且自适应更新定律估计其值。使用Lyapunov参数显示了闭环系统的稳定性。仿真结果表明,该控制方法大大提高了PD型控制器的跟踪性能。论文的第三部分考虑了摩擦和反冲对系统的综合影响。可变结构控制器与自适应反冲反向结合使用,以减少摩擦和输出反冲的影响。在输入反冲的情况下,显示了一种可变结构控制器来实现全局渐近跟踪和调节。提出了带有摩擦和反冲的二阶系统的仿真。

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