Add to ORKGAbstract: A novel methodology, called Iterative Regression Tuning, for simultaneous tuning of multiple controllers is implemented in this report. Results from the first industrial scale application of the method are presented. A dynamical simulator representing a realistic power plant process is applied as the test case. The report presents a comprehensible overview of the proposed tuning technique, the related algorithms and the application possibilities of the method
Often, power plant controllers have to deal with multiple and demanding performance objectives. This...
The development of efficient techniques for the on-site optimisation of controller parameters is a t...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
During the past two decades the role of dynamic process simulation within the research and developme...
We investigate the general iterative controller tuning (ICT) problem, where the task is to find a se...
The present article looks at the problem of iterative controller tuning, where the parameters of a g...
Accurate tuning of controller in industrial process operation is prerequisite to system smooth opera...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
simple method is presented to obtain tuning rules for conventional controllers (PID-type) able to gi...
This Thesis presents possible solutions to best obtain and maintain economic performances in industr...
Nonlinear Model Predictive Controllers determine appropriate control actions by solving an on-line o...
Nonlinear Model Predictive Controllers determine appropriate control actions by solving an on-line o...
Abstract: Iterative Feedback Tuning (IFT) is used for tuning PID controllers for the case when it is...
Over the past decade, Model Predictive Control (MPC) has established itself as an industrially impor...
Often, power plant controllers have to deal with multiple and demanding performance objectives. This...
The development of efficient techniques for the on-site optimisation of controller parameters is a t...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...
Optimal performance of process control requires a controller synthesis based on a perfor-mance crite...
During the past two decades the role of dynamic process simulation within the research and developme...
We investigate the general iterative controller tuning (ICT) problem, where the task is to find a se...
The present article looks at the problem of iterative controller tuning, where the parameters of a g...
Accurate tuning of controller in industrial process operation is prerequisite to system smooth opera...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
simple method is presented to obtain tuning rules for conventional controllers (PID-type) able to gi...
This Thesis presents possible solutions to best obtain and maintain economic performances in industr...
Nonlinear Model Predictive Controllers determine appropriate control actions by solving an on-line o...
Nonlinear Model Predictive Controllers determine appropriate control actions by solving an on-line o...
Abstract: Iterative Feedback Tuning (IFT) is used for tuning PID controllers for the case when it is...
Over the past decade, Model Predictive Control (MPC) has established itself as an industrially impor...
Often, power plant controllers have to deal with multiple and demanding performance objectives. This...
The development of efficient techniques for the on-site optimisation of controller parameters is a t...
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The m...