Deng Wenxiang, Yao Jianyong, Ma Dawei
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
ISA Trans. 2017 Sep;70:269-278. doi: 10.1016/j.isatra.2017.07.022. Epub 2017 Jul 29.
This paper addresses the high performance motion control of hydraulic actuators with parametric uncertainties, unmodeled disturbances and unknown valve dead-zone. By constructing a smooth dead-zone inverse, a robust adaptive controller is proposed via backstepping method, in which adaptive law is synthesized to deal with parametric uncertainties and a continuous nonlinear robust control law to suppress unmodeled disturbances. Since the unknown dead-zone parameters can be estimated by adaptive law and then the effect of dead-zone can be compensated effectively via inverse operation, improved tracking performance can be expected. In addition, the disturbance upper bounds can also be updated online by adaptive laws, which increases the controller operability in practice. The Lyapunov based stability analysis shows that excellent asymptotic output tracking with zero steady-state error can be achieved by the developed controller even in the presence of unmodeled disturbance and unknown valve dead-zone. Finally, the proposed control strategy is experimentally tested on a servovalve controlled hydraulic actuation system subjected to an artificial valve dead-zone. Comparative experimental results are obtained to illustrate the effectiveness of the proposed control scheme.
本文研究了存在参数不确定性、未建模干扰和未知阀死区情况下液压执行器的高性能运动控制问题。通过构造一个平滑的死区逆模型,采用反步法提出了一种鲁棒自适应控制器,其中自适应律用于处理参数不确定性,连续非线性鲁棒控制律用于抑制未建模干扰。由于未知死区参数可通过自适应律进行估计,进而通过逆运算有效补偿死区的影响,因此有望提高跟踪性能。此外,干扰上界也可通过自适应律在线更新,这提高了控制器在实际中的可操作性。基于李雅普诺夫的稳定性分析表明,即使存在未建模干扰和未知阀死区,所设计的控制器也能实现具有零稳态误差的优异渐近输出跟踪。最后,在所提出的控制策略在一个存在人工阀死区的伺服阀控制液压驱动系统上进行了实验测试。获得了对比实验结果以说明所提控制方案的有效性。