NDLI: Nonlinear model predictive control of pneumatic conveying and drying process

Content Provider	IEEE Xplore Digital Library
Author	Satpati, B. Koley, C. Bhowmik, P.S. Datta, S.
Copyright Year	2014
Description	Author affiliation: ME Dept., Ghani Khan Choudhury Inst. of Eng. & Technol., Malda, India (Datta, S.) \|\| EE Dept., Univ. Inst. Technol., Burdwan, India (Satpati, B.) \|\| EE Dept., Nat. Inst. of Technol., Durgapur, India (Koley, C.; Bhowmik, P.S.)
Abstract	Paper deals with development and implementation of nonlinear model predictive control (NMPC) techniques to determine optimal temperature and flow control strategies for a scale down industrial pneumatic conveying and drying system in order to achieve an improved drying characteristics and quick transportation of materials. In this paper predictive control approach is employed using a multivariable Hammerstein model structure. The input nonlinearities involves with the multivariable Hammerstein model are transformed into polytopic description in order to ease the constraint handling in NMPC design. The performance of the predictive controller is studied with stringent design specifications (constraints) and dynamic operating condition of the process under investigation. The results show the effectiveness and precision of the proposed control to track reference signals and a significantly better closed-loop response with the use of minimum control effort.
Starting Page	492
Ending Page	497
File Size	1332111
Page Count	6
File Format	PDF
ISBN	9781479974092
DOI	10.1109/CCA.2014.6981394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive control Temperature measurement Predictive models Data models Atmospheric modeling MIMO model predictive control Hammerstein model identification heating and flow control process pneumatic conveying and drying process
Content Type	Text
Resource Type	Article

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