A vision based low-frequency electro-hydraulic fatigue testing machine

Abstract

In the vision based control system, the lower frame per second and the delay of image processes are main reasons to degrade the control performance. These factors have no significant influence in the low frequency material testing. In experiments, vision based electro-hydraulic material testing machine is developed by self-organizing sliding mode fuzzy controller and to carry out dynamic tracking control under 1Hz. Square, sinusoidal and triangular waveforms are applied to analyze the control performance of this electro hydraulic testing machine, and then it will discuss the feasibility of non-contacted CCD camera to replace contacted sensors.