Title :
Parametric robust ℋ2 control design with generalized multipliers via LMI synthesis
Author :
Banjerdpongchai, David ; How, Jonathan P.
Author_Institution :
Stanford Univ., CA, USA
Abstract :
This paper presents a new, combined analysis and synthesis procedure that provides an efficient and effective robust control design technique for systems with real parametric uncertainty. Robust stability is determined for these systems using passivity analysis with generalized multipliers, and the worst case ℋ2 performance is investigated using a bound on the output energy. The dynamics of the multipliers are systematically chosen using knowledge from the uncertain system. The synthesis objective of minimizing the robust performance naturally leads to bilinear matrix inequalities, which can be decoupled to a large extent. A heuristic, iterative algorithm is presented to handle the residual coupling in the design problem. A simple beam example is used to demonstrate that the synthesis with generalized multipliers leads to less conservative controllers for systems with real parametric uncertainty
Keywords :
control system analysis; control system synthesis; iterative methods; matrix algebra; minimisation; robust control; uncertain systems; LMI synthesis; bilinear matrix inequalities; combined analysis/synthesis procedure; generalized multipliers; heuristic iterative algorithm; parametric robust ℋ2 control design; passivity analysis; real parametric uncertainty; robust performance; simple beam; worst case ℋ2 performance; Algorithm design and analysis; Control system synthesis; Iterative algorithms; Linear matrix inequalities; Performance analysis; Robust control; Robust stability; Robustness; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.574312