Fuzzy Control of Brine Heater Process in Water Desalination Plants

Dynamic modelling of MSF plants for automatic control and simulation purposes: a survey

“…Although such models are very important for plant design and simulation, they are of little interest for control design because of this complexity. Among the early work on models suitable for control it is possible to mention [32][33][34][35][36][37][38]. Real-time data and simulation results of very complex models indicate that the essential dynamics could in fact be captured by simple models.…”

“…In fact, all these reduced models are obtained either from the model given in [10,27,38,39] or the model given in [32,35,37]. However, there is only little additional information about if the reduced models were cross-validated with real-time data.…”

“…Three approaches can be found in the literature in order to undertaken the model reduction of MSF processes: direct system identification [32,33], approximation using test signals [35,37] and linearization and application of algorithms for model reduction [34]. In fact, all these reduced models are obtained either from the model given in [10,27,38,39] or the model given in [32,35,37].…”

Generic Model Control (GMC) in Multistage Flash (MSF) Desalination

“…In comparison with the conventional PID and direct fuzzy logic, the results showed the outperformance of the learning system over the other two types. For the same purpose of controlling TBT, Olafsson et al (1999) designed and applied simple fuzzy control to brine heater in MSF process. In most of their study cases, the results showed that FLC can perform better or equally well as the conventional PID controller.…”