Efficient suboptimal parametric solutions to predictive control for PLC applications

The prime aim of this paper is to embed a predictive control (MPC) algorithm with constraint handling capabilities into a programmable logic controller (PLC). In order to achieve it, this paper develops parametric approaches to MPC but differs from more conventional approaches in that it predefines...

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Vydáno v:Control engineering practice Ročník 19; číslo 7; s. 732 - 743
Hlavní autoři: Valencia-Palomo, G., Rossiter, J.A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.07.2011
Elsevier
Témata:
Algorithms
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Controllers
Exact sciences and technology
Hardware
Multi-parametric quadratic programming
PLC
Predictive control
Process control. Computer integrated manufacturing
Product life cycle
Programmable logic controllers
Programmable logic devices
Stability
Multi-parametric quadratic programming
PLC
Predictive control
Capability index
Suboptimal control
Parametric programming
Control program
Constraint satisfaction
Quadratic programming
Search algorithm
Model predictive control
Control constraint
Programmable logical controller
ISSN:0967-0661, 1873-6939
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Shrnutí:The prime aim of this paper is to embed a predictive control (MPC) algorithm with constraint handling capabilities into a programmable logic controller (PLC). In order to achieve it, this paper develops parametric approaches to MPC but differs from more conventional approaches in that it predefines the complexity of the solution rather than the allowable suboptimality. The paper proposes a novel parameterisation of the parametric regions which allows efficiency of definition, effective spanning of the feasible region and also highly efficient search algorithms. Despite the suboptimality, the algorithm retains guaranteed stability, in the nominal case. A laboratory test was carried out to demonstrate the code on real hardware and the effectiveness of the solution.
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ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2011.04.001