DocumentCode
2368164
Title
Optimal digital control and filtering for dynamic weighing systems
Author
Balachandran, W. ; Halimic, M. ; Hodzic, M. ; Tariq, M. ; Enab, Y. ; Cecelja, F.
fYear
1995
fDate
24-26 April 1995
Firstpage
293
Abstract
The plant that should be controlled is a weighcell based dynamic weighing system. The weighcell is a controllable weighing device that operates according to the principle of electromagnetic force compensation. The two main aims for improvement are: (1) to increase the speed of weighing and (2) to achieve good measurement accuracy. These goals are contradictory and can be completed through an integrated control and filtering approach. The Linear Quadratic Gaussian (LQG) is an optimal design method that combines the design of both control and filtering in an integrated manner. Therefore, this paper discusses a possibility of using LQG method for enhancement of the performance of weighcell based dynamic weighing systems. Furthermore, the paper includes mathematical models of the weighcell and forcing functions. These models are used to examine the suitability of the proposed LQG design method
Keywords
Control systems; Design methodology; Digital control; Digital filters; Electromagnetic forces; Electromagnetic measurements; Filtering; Force control; Velocity measurement; Weight control;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
Conference_Location
Waltham, MA, USA
Print_ISBN
0-7803-2615-6
Type
conf
DOI
10.1109/IMTC.1995.515145
Filename
515145
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