A new generation of adaptive model based predictive controllers applied in batch reactor temperature control

Temperature control of processes that involve the heating and cooling of a closed batch reactor can be a real problem for conventional PID based loop controllers. Tuning can be extremely difficult due to the reduced stability margins proved for these types of processes. This paper describes the application of a new advanced process controller that is designed to handle integrating-type processes with long dead times and long time constants. The results described demonstrate that reactors that could previously only be operated manually can be easily automated using model predictive control technology. The barrier to automation of the reactor batch controls can be removed, resulting in the opportunity for improvements in batch consistency, reduced batch cycle times, and improved productivity.