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Adaptive Repetitive Control of A Linear Oscillating Motor under Periodic Hydraulic Step Load

机译:周期性液压步进负载下线性振荡电动机的自适应重复控制。

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摘要

A linear oscillating motor has a direct and efficient linear motion output and is widely used in linear actuation systems. The motor is often applied to compact hybrid electrohydraulic actuators to drive a linear pump. However, the periodic switch of the rectification valve in the pump brings the hydraulic step load to the linear motor, which causes periodic oscillation waveform distortions. The distortion results in the reduction of pumping capacity. The conventional feedback proportional-integral-derivative control is applied to the pump, however, this solution cannot handle the step load as well as resolving nonlinear properties and uncertainties. In this paper, we introduce a nonlinear model to identify periodic hydraulic load. Then, the loads are broken up into a set of simple terms by Fourier series approximation. The uncertain terms and other modeling uncertainties are estimated and compensated by the practical adaptive controller. A robust control term is also developed to handle uncertain nonlinearities. The controller overcame drawbacks of conventional repetitive controllers, such as heavy memory requirements and noise sensitivity. The controller can achieve a prescribed final tracking accuracy under periodic hydraulic load via Lyapunov analysis. Finally, experimental results on the linear oscillating motor-pump are provided for validation of the effectiveness of the scheme.
机译:线性振荡马达具有直接且有效的线性运动输出,并且广泛用于线性致动系统中。电动机通常应用于紧凑型混合电动液压执行器,以驱动线性泵。然而,泵中的整流阀的周期性切换将液压步进负载带入线性电动机,这导致周期性的振荡波形失真。变形导致泵送能力的降低。传统的反馈比例-积分-微分控制应用于泵,但是,该解决方案无法处理阶跃负载,也无法解决非线性特性和不确定性。在本文中,我们引入了一个非线性模型来识别周期性的水力负荷。然后,通过傅立叶级数逼近将载荷分解为一组简单项。不确定项和其他建模不确定性由实际的自适应控制器进行估算和补偿。还开发了鲁棒的控制项来处理不确定的非线性。该控制器克服了传统重复控制器的缺点,例如内存需求大和噪声敏感。控制器可以通过Lyapunov分析在周期性的液压负载下达到规定的最终跟踪精度。最后,提供了线性振荡电动机泵的实验结果,以验证该方案的有效性。

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