Abstract
This paper reports on the experience in the course of development of an adaptive control strategy for an 18-stage multistage flash (MSF) desalination plant presently operating in the Arabian Gulf region. The parameter-scheduling strategy maintains optimality of PID controllers over the operating region and is derived by simulation using a detailed phenomenological dynamic model. An optimal method of reducing the model into first-order-dead-time (FODT) form and a non-parameric model-based simulation facility are presented. Based on a relative gain array analysis, an appropriate control structure has been established. A number of integral performance criteria have been used, without resorting to the use of a reduced model, directly with the non-parameric simulation facility for optimal controller tuning. The controller parameters are given as a vector function of the top brine temperature (TBT) and the brine recycle flow rate, which are key variables for the TBT control.
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