NDLI: The weight selection in the LQ optimal control for an electrical drive system

Content Provider	IEEE Xplore Digital Library
Author	Botan, C. Onea, A.
Copyright Year	1997
Description	Author affiliation: Dept. of Autom. Control & Ind. Inf., Tech. Univ. Gh. Asachi, Iasi, Romania (Botan, C.)
Abstract	In this paper, a linear-quadratic (LQ) optimal control problem is studied. The control method is very general and can be applied to DC motor drive systems and, also, to AC motor drive systems provided with field oriented control. The LQ optimal control problem with a finite horizon implies the use of a time-variant controller. The implementation of such a controller in practical applications is difficult and requires a great amount of CPU time. This paper indicates an easier approach to the implementation of these types of controllers using only invariant blocks. This controller uses constant feedback and correction depending on the initial state of the plant. These ideas are applied to the optimal control of a DC motor drive system. The aim of the analyses performed in this paper is to ensure reduced energy consumption and good behaviour of the system in the transient and steady state. The results allow the development of a selection guide of the weight parameters of the criterion, which means a good choice of the criterion in the design of an optimal controller. In the last section, experimental real-time results show the validity of the proposed method and the effectiveness of the transputer-based controller. Emphasis is also placed on the good correspondence between the simulation results and experimental results with the optimal control system.
Starting Page	1039
Ending Page	1043
File Size	445146
Page Count	5
File Format	PDF
ISBN	0780339363
DOI	10.1109/ISIE.1997.648880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-07
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimal control Equations Rotors Electrical equipment industry Industrial control Informatics Control systems Energy consumption DC motors Automatic control
Content Type	Text
Resource Type	Article

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