Abstract:

To achieve the robustness of a control system and the convergence of the control strategy, a Quantitive Feedback Theory (QFT) iteration learning-control strategy was designed, and the convergence criterion was given from viewpoint of frequency-domain. Both experiment and simulation results show that the compound iterationlearning-control strategy can increase the bandwidth and improve the precision of the system while tracking the expected input. At the same time, the random vibration signal can also be tracked well by using the control strategy. It was demonstrated that the compound iteration-learning-control is a new way in high performance real-time control of hydraulic angular vibration table.

Key words: theory of control, hydraulic angular vibration table, quantitative feedback theory(QFT), Iteration-learning, nonlinear