Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor

Journal article (2008)

Authors

Javier Jesús Causa Morales Universidad de Chile

Gorazd Karer University of Ljubljana

Alfredo Nunez Universidad de Chile

Doris Sáez Universidad de Chile

Igor Skrjanc University of Ljubljana

Borut Zupancic University of Ljubljana

Affiliation

External organisation

Model predictive control Hybrid systems Process control Fuzzy systems

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Published Date

22-12-2008

Language

English

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Abstract

In this paper we describe the design of hybrid fuzzy predictive control based on a genetic algorithm (GA). We also present a simulation test of the proposed algorithm and a comparison with two hybrid predictive control methods: Explicit Enumeration and Branch and Bound (BB). The experiments involved controlling the temperature of a batch reactor by using two on/off input valves and a discrete-position mixing valve. The GA-hybrid predictive control strategy proved to be a suitable method for the control of hybrid systems, giving similar performance to that of typical hybrid predictive control strategies and a significant saving with respect to the computation time.