Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/139066
Title: CONSTRAINED OPTIMIZATION ALGORITHMS TOWARDS INTEGRATED DESIGN OF MECHATRONIC SYSTEMS
Authors: MA JUN
ORCID iD:   orcid.org/0000-0002-9405-8232
Keywords: Optimal control, constrained optimization, robust control, precision mechatronics
Issue Date: 29-Sep-2017
Citation: MA JUN (2017-09-29). CONSTRAINED OPTIMIZATION ALGORITHMS TOWARDS INTEGRATED DESIGN OF MECHATRONIC SYSTEMS. ScholarBank@NUS Repository.
Abstract: Integrated design of mechatronic systems that concurrently considers both control and mechanical specifications is a promising trend to achieve high performance for next generation of the mechatronics. However, the optimal mechatronic design by taking all the subsystems as a whole leads to a composite gain matrix which is under certain structural constraints, and this problem cannot be solved by the standard optimal control methods. This thesis presents several constrained optimization algorithms for a class of integrated mechatronic design problems, including a constrained linear quadratic optimization algorithm, a constrained H2 optimization algorithm, and a cutting-plane-based optimization algorithm for the H2 guaranteed cost control problem. A flexure-linked dual-drive H-gantry is used as a case study to validate the theoretical results and the effectiveness of all the proposed algorithms.
URI: http://scholarbank.nus.edu.sg/handle/10635/139066
Appears in Collections:Ph.D Theses (Open)

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