Author/Authors :
J. Scha¨ fer and A. Cinar، نويسنده ,
Title Of Article :
Multivariable MPC system
performance assessment,
monitoring, and diagnosis
Latin Abstract :
This study focuses on performance assessment and monitoring of model predictive control systems. A methodology is proposed
to determine a benchmark and monitor model predictive control performance on-line. A performance measure based on the ratio of
historical and achieved performance is used for monitoring and a ratio of design and achieved performance is used for diagnosis.
Performance monitoring and diagnosis of causes for poor performance are integrated. A real-time knowledge-based system is
developed to supervise monitoring and diagnosis activities. Case studies with linear and nonlinear models of an evaporator illustrate
the methodology and limitations of linearity assumptions.
NaturalLanguageKeyword :
Model predictive control , Controller performance assessment , Fault diagnosis , Performance monitoring
JournalTitle :
Studia Iranica
