NONLINEAR INFERENTIAL PARALLEL CASCADE CONTROL

This paper discusses the use of nonlinear inferential parallel cascade control (NIPCC) to improve control system performance. The goal of NI PCC is to detect and compensate for the effects of unmeasured disturba nces faster than the feedback control being employed. NIPCC behaves in a manner that is similar to normal cascade control, but NIPCC has a p arallel feedback architecture. NIPCC can be thought of as a limiting c ase of developing a soft sensor, and thus, NIPCC draws from both paral lel cascade control and inferential sensing. The effectiveness of NIPC C is demonstrated on the Tennessee Eastman test process. NIPCC holds p romise as an effective means of improving plant-wide control.