Authors:
Radu Bălan
;
Vistrian Mătieş
;
Victor Hodor
;
Sergiu Stan
;
Ciprian Lăpuşan
and
Horia Bălan
Affiliation:
Technical University of Cluj-Napoca, Romania
Keyword(s):
Heat-exchanger, nonlinear control, on-line simulation, rule-based control.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Mechatronic Systems
;
Optimization Algorithms
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Model based predictive control (MBPC) is an optimization-based approach that has been successfully applied to a wide variety of control problems. When MBPC is employed on nonlinear processes, the application of this typical linear controller is limited to relatively small operating regions. The accuracy of the model has significant effect on the performance of the closed loop system. Hence, the capabilities of MBPC will degrade as the operating level moves away from its original design level of operation. This paper presents an MBPC algorithm which uses on-line simulation and rule-based control. The basic idea is the on-line simulation of the future behaviour of control system, by using a few control sequences and based on nonlinear analytical model equations. Finally, the simulations are used to obtain the ‘optimal’ control signal. These issues will be discussed and nonlinear modelling and control of a single-pass, concentric-tube, counter flow or parallel flow heat exchanger will b
e presented as an example.
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