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
Link To Document :
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