Optimization-based control system design

Ching-An Lin*, Shih Ho Chen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A computer-aided control system design method based on the Q-parameterization theory and optimization techniques is developed. The design problem is formulated as an optimization problem with equality, inequality, and functional inequality constraints. The equality constraints come from the stability requirement and the other constraints from performance specifications. It is shown that, with an appropriate choice of design variable, the equality constraints can be eliminated. Algorithms to solve the optimization problem, based on the so-called phase I-phase II feasible direction method, are developed. The CAD software is implemented by using the primitives of PCMATLAB. The method is practical in that it considers practical engineering design specifications, such as maximum overshoot, settling time, closed-loop bandwidth, and plant-input limitation; it is systematic in that the controller is obtained through a well-defined iterative procedure. An illustrative example is given to demonstrate the effectiveness of the design approach.

Original languageEnglish
Article number204067
Pages (from-to)2462-2468
Number of pages7
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - 5 Dec 1990
EventProceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6) - Honolulu, HI, USA
Duration: 5 Dec 19907 Dec 1990

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