Title
Optimal control for high order systems with fixed PI controller based on model reduction and constrained optimization
Abstract
This paper proposes a new semi-analytical robust mixed H2/H¿ method to design fixed-structure controllers (e.g. PI, PID) for high order systems. The method consists of two steps. Firstly, the model reduction determines reduced-order model, which is used for controller synthesis, with the guarantee of robustness margins obtained for full-order system. The reduced model will be validated a posteriori in term of closed-loop behavior by using the ¿-gap metric. Then, the parameters of a given structure controller will be determined to obtain optimal step load disturbance rejection with the respect of robustness constraints, i.e. maximum amplification of measurement noise, module margin and phase margin. The design objective and the robustness constraints are expressed as H2 and H¿ norms in function of unknown controller parameters. The controller design problem is then reformulated into a nonlinear optimization with constraints that can be efficiently solved numerically. We developed a controller design tool which provides, when it exists, an optimal controller that fulfills the design specifications. In this paper, to demonstrate the results, the proposed method is applied to a benchmark of common industrial systems controlled by PI controller.
Year
DOI
Venue
2009
10.1109/CDC.2009.5400808
CDC
Keywords
Field
DocType
reduced-order model,phase margin,pi control,closed-loop behavior,fixed-structure controllers,optimal control,constrained optimization,hâ¿ optimisation,module margin,reduced order systems,fixed pi controller,nonlinear programming,control system synthesis,â¿-gap metric,semianalytical robust mixed h2 method,full-order system,high order systems,common industrial systems,nonlinear optimization,semianalytical robust mixed hâ¿ method,controller synthesis,hâ¿ control,stability,robustness constraints,closed loop systems,optimal step load disturbance rejection,model reduction,measurement noise,pi controller,noise measurement,optimization,robustness,noise
Control theory,Mathematical optimization,Optimal control,PID controller,Computer science,Control theory,Nonlinear programming,Robustness (computer science),Robust control,Open-loop controller,Constrained optimization
Conference
ISSN
ISBN
Citations 
0191-2216 E-ISBN : 978-1-4244-3872-3
978-1-4244-3872-3
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Hoang Bao Le110.73
Eduardo Mendes2142.39