|
Many of the industrial process control systems are present in the actual run-time performance deficiencies , without regular maintenance , the control system performance will be degraded over time , thus reducing production efficiency , resulting in a waste of resources , increase the substandard products. Current control system performance evaluation method only for a single mode or dynamic characteristic evaluation of performance control system operation , and in the actual industrial process, the control system disturbance signals are usually a mixture of many different types of body , and often encountered located setting change operation mode and other conditions , in many cases , the randomness of the control system performance is good, but the performance is not satisfactory certainty , and vice versa. This comprehensive selection randomness and deterministic performance evaluation strategy for multi- process control system operating mode , that is, considering simultaneously setting changes and a variety of disturbance dynamics, based on error prediction technology, establish a control system can achieve the minimum variance , comparing the actual and forecast error variance sequence sequence variance to determine system performance indicators, proposed a control system based on error prediction comprehensive performance evaluation methods , to achieve comprehensive performance evaluation of the control system . In addition, the control system according to the requirements of performance evaluation , design and development of an OPC-based and Access Control system performance monitoring platform (Control SystemComprehensive Performance Monitoring Platform - CPM), to achieve the control object each control loop performance for real-time online monitoring and analysis . Comprehensive performance evaluation of the control system technology to Tennessee - Eastman process (Tennessee-Eastman Process, TEP) simulation DMF monitoring platform and industrial recycling process , the results show that the forecasting method based on the error in the control system performance evaluation practical significance, but , CPM for actual industrial process control system performance evaluation software design and development for effective support.
|