MARTIN KAUCSÁR, DAMIAN AXENTE, VIOREL COSMA, AUREL BÂLDEA<br>Improving Transient Response and Reducing the Effects of Perturbations on Isotope Separation Plants Using a Neuro-Fuzzy Controller

MARTIN KAUCSÁR, DAMIAN AXENTE, VIOREL COSMA, AUREL BÂLDEA
Improving Transient Response and Reducing the Effects of Perturbations on Isotope Separation Plants Using a Neuro-Fuzzy Controller

Abstract:

In developing control systems for isotope separation plants, in order to increase the separation efficiency, amongst the most important tasks are: the minimization of the transient response and the reduction of disturbances effects over the process. In order to fulfill these requirements we develop a neuro-fuzzy feedforward control configuration. Process determining parameters are controlled by using a multiloop control scheme, in each control loop being identified: a feedback loop and a feedforward loop. In the first case the controlled parameter is compared with its setpoint, and if there is a deviation, the feedback controller, based on fuzzy-logic, takes action according to the control strategy. The feedforward controllers are implemented by a neuro-fuzzy model. The parameters of a feedforward fuzzy control system are inherently difficult to tune for the purpose of improving the control requirements. This drawback is resolved by integrating the learning and computational power of neural networks into fuzzy systems. The feedforward controller learns the inverse of the plant process to give at the output of the feedforward loop the input to the plant process needed to follow the desired setpoint. Keywords: chemical process control, feed-forward, fuzzy logic, 15N separation plant

Issue: 2010, Volume 61, Issue 5

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