Model-Based Fault-Diagnosis of Electronic Throttle System

The designed electronic throttle control systems are able to diagnose faults, which affects the proper performance of the system. In this study, a fault-diagnosis algorithm of electronic throttle system based on parameter estimation is presented, using a simplified version of the DC motor model so as to minimize the relevant computation. By means of the Butterworth digital filtering state equation, the signal’s filtering value as well as its first-order and second-order derivatives are obtained. Thus, the operational precision is improved and the error influence from derivative discretization is avoided. The experimental results are consistent with the proposed algorithm employed in fault analysis.