Robustness analysis using prediction based control strategy for an industrial process

The limekiln process is inherently difficult to function efficiently because of complex dynamics and multi-variable process with long time delays, which makes it an ideal subject for the application of Model Predictive Control (MPC) strategy. Robustness analysis is performed to test controller sensitivity to model errors. The model is perturbed by decreasing all the time constants and increasing all the time delays appearing in the multivariable transfer function. The responses achieved from original model and the perturbed model are compared for its setpoint response and disturbance rejection capability of controller designed based on MPC strategy.