Real-Time Optimization and Model-Based Control of Polymer Reactors

In the continuous and batch chemical processing industries computer integrated manufacturing is being very actively promoted aiming at safer and more stable plant operation, productivity improvement, quality improvement, reductions in manufacturing waste and environmental impact, energy conservation and manpower reduction. These significant improvements can be achieved through the development and application of state estimation, model-based predictive control and optimisation of process operations. Key to the successful development of these advanced control methods is the construction of appropriate mathematical models of the process concerned. These need to range from detailed fundamental mechanistic forms to database forms such as those provided by statistical and neural network approaches. Collateral with this is the requirement for the harmonious operation of statistical quality control and multiloop process control to promote improvements in quality (reduction in process variability) and productivity.

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