Innovative Adaptive Control of Material Fatigue Test Machines Using an MCS Controller

Abstract

The paper presents some issues related to the control of fatigue test machines based on W(t) parameter taking into account the simultaneous interaction of stress and strain. This parameter is defined as a product of these values. Such a research method represents a new approach in fatigue testing with an innovative control system. Because of the W(t) function characteristics, the system presents nonlinear behavior and there is a significant deterioration of the control quality and the controlled signal significantly differs from the reference signal waveform. This problem can be solved by introducing a nonlinear block into the feedback loop. Fatigue tests have been carried out for sinusoidal and randomized reference signal waveforms. These tests have proved that the controlled signal follows reference values with an appropriate control quality.

Analysis of the Control Characteristics of the Electro-Hydraulic Vibration System Based on the Single-Neuron Control Algorithm

“…Liao et al aimed at the wind blade fatigue test process coupling effect for the synchronization of the two exciters, designed a PID algorithm as the core of the virtual master synchronization control algorithm, conducted a numerical simulation of the synchronization control algorithm of the stable convergence of the analysis, and verified the effectiveness of the synchronization control algorithm [19]. Adam Heyduk et al implemented the MCS controller in a fatigue testing machine and achieved improved control results [20]. Ma et al designed a fatigue testing system that uses fuzzy PID control, powered by an AC servo electric cylinder.…”