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.
| Original language | English |
|---|---|
| Pages (from-to) | 3254-3263 |
| Number of pages | 10 |
| Journal | Computers and Chemical Engineering |
| Volume | 32 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 22 Dec 2008 |
| Externally published | Yes |
Keywords
- Fuzzy systems
- Hybrid systems
- Model predictive control
- Process control