Adaptive feedback-feedforward control for a class of nonlinear chemical processes

To circumvent the drawbacks in nonlinear controller designing of chemical processes, an adaptive feedback-feedforward control scheme is proposed in this paper A class of nonlinear processes with modest nonlinearities is approximated by a composite model consisting a linear ARX model and a fuzzy neural network-based linearization error model. In addition, the stable analysis is also discussed. Simulation results show that the feedforward control plays a major role in improving the control performance, and the proposed feedback-feedforward control possesses better performance.