A real-time expert control system status monitor using linear predictive coding algorithms

摘要

A real-time control system status monitoring scheme is proposed. The scheme consists of linear predictive coding algorithms, a knowledge base, and an inference engine. The scheme is capable of providing real-time information on the control system in terms of stability, settling time, percentage overshoot, and integral squared error. The proposed scheme has been applied to a DC motor position control system under various normal/abnormal operating conditions. The proposed scheme has successfully provided useful information on the overall system stability and performance.