MODELLING AND CONTROL OF MULTI PROCESS SYSTEM USING BOND GRAPH AND DECENTRALIZED MODEL PREDICTIVE CONTROLTECHNIQUE
MODELLING AND CONTROL OF MULTI PROCESS SYSTEM USING BOND GRAPH AND DECENTRALIZED MODEL PREDICTIVE CONTROLTECHNIQUE
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Date
2015-05
Authors
CHIBUEZEIKPO, VALENTINE
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Abstract
This research proposes a simplified approach to the modelling of quadruple tank
system via the use of bond graph technique. The novelty of this approach is that
quadruple tank system equations are easier to obtain. In addition, the process of
obtaining the system equations is less prone to error because of the use of the
pictorial advantage of bond graph. This is an advantage for complex systems
such as Multi Input Multi Output (MIMO) systems. The 20-SIM software (bond
graph technique software) was used in this work. In order to address the inherent
multivariable constraint issues of the quadruple tank system such as looping and
coupling effects, while minimizing the cost of control, the quadruple tank system
was partitioned into Single Input Single Output (SISO) systems. This established
the basis for the implementation of the Decentralized Model Predictive Control
(DMPC) for the quadruple tank system. Due to the numerical ill-conditioning of
the system state equations, a Quadratic Programming (QP) based scheme with
inequality constraints was adopted. This was implemented in the Control toolbox
of MATLAB. The classical predictive control scheme, achieved control horizon
of a numerical value of one, and prediction horizon has values between 1 and
fifty with an average settling time of 0.8439 seconds. However, the QPDMPC
schemes' control horizon (M 10) and prediction horizon (M )
accommodating increasing values (infinite horizon) with time while the settling
time of 0.04 seconds was attained. Validation of the controllers was carried out
relative to classical PID controller.
Description
A THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF A MASTER OF SCIENCE (M.Sc) DEGREE IN CONTROL ENGINEERING DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING FACULTY OF ENGINEERING, AHMADU BELLO UNIVERSITY, ZARIA NIGERIA.
Keywords
MODELLING,, CONTROL,, MULTI PROCESS SYSTEM,, BOND GRAPH,, DECENTRALIZED MODEL PREDICTIVE,