Abstract
According to the characteristics of the nonlinear, long time-delays and time-variation in the MSG wastewater treatment system based on three-phase fluidized bed bioreactor (FBBR), a modified T-S model fuzzy adaptive control system based on genetic algorithm (GA) is presented in this paper. In the system, firstly using GA to optimize the membership functions, then reducing the dimension of fuzzy controller and simplifying the rules by an integral unit. Moreover, adopt a prediction method to compensate the time-delay of system, which based on the theory of fuzzy. Finally, the method is verified by experiments. Simulation experimental results show that the method is feasible and effective, which provides an effective approach to solve the problem of process control with long time-delays, large inertia and time-variation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information Technology and Computer Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
