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

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. © 2008 Elsevier Ltd. All rights reserved.

Año de publicación:

2008

Keywords:

• process control
• hybrid systems
• Model Pbkp_redictive Control
• fuzzy systems

Fuente:

scopus