Title :
Performance assessment of model predictive control in industrial distillation column
Author :
Yang, Maying ; Jin, Xiaoming ; Chen, Fei
Author_Institution :
Dept. of Autom., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
A synthetical method of multivariable control system performance assessment is proposed in this paper, which uses multivariable minimum variance control (MVC) benchmark to determine the stochastic performance, and normalized multivariate impulse response (NMIR) curve as an alternative measure of performance to test the dynamic performance, and with the help of auto-correlation function (ACF) and cross-correlation function (CCF) to analyse if there are oscillations exist. The method is applied to assess the performance of multivariable predictive control system of industrial distillation column.
Keywords :
correlation theory; distillation equipment; multivariable control systems; predictive control; process control; stochastic systems; transient response; autocorrelation function; cross correlation function; industrial distillation column; minimum variance control; model predictive control; multivariable predictive control system; normalized multivariate impulse response curve; oscillations; performance assessment; process control; stochastic performance; Benchmark testing; Control systems; Distillation equipment; Electrical equipment industry; Impulse testing; Industrial control; Predictive control; Predictive models; Stochastic systems; System performance;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340656
