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Chapter 4. Explicit/Multi-Parametric MPC Control of PSA Systems work. This integrated framework based approach, appears to be a better option for the controller design and validation of complex systems like PSA with strong nonlinearities coupled with interconnected column dynamics. Furthermore, mul- tiple reduced models are built during the system identification step to probe the role of model mismatch during the closed loop validation step. The results shows that the model identified with pulse switching time of 20 cycles gives the best performance, although the model with switching time of 79 cycles both performs better than the 5 cycles case. Multiple disturbance scenarios in the PSA feed rate are created for comparing the performance of mp-MPC with the standard PID controllers. For the step disturbance study, mp-MPC controller is twice as fast as the PID controller, while the control efforts for both controllers are comparable. On the other hand, for impulse disturbance studies, the speed of response of both controller modes is quite similar, while the controller effort for mp-MPC is considerably smaller than the PID controller. When the impulse disturbance is increased to 54 % change in feed rate, the PID controller violates the lower bound on the input variable, requiring re-tuning, while the mp-MPC handles this disturbance without any constraint violation. 98PDF Image | Operation and Control of Pressure Swing Adsorption Systems
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