Optimal fuzzy PID Controller for Multi Input Multi Output model

The paper presents the development of a fuzzy PID Controller for a multi input and multi output paper machine system. The job of paper machine is to transform slurry of water and wood cellulose fibers into a saleable sheet of paper as efficiently as possible. The controller used in this process is P...

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Bibliographic Details
Main Authors: Sridhar, K., Patil, A.B., Kumbhar, M.S., Jadhav, K.U.
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Fuzzy control
Fuzzy logic
Fuzzy logic controllers
Fuzzy systems
Genetic Algorithm
Genetic algorithms
Multi Input Multi Output model
Optimal control
Paper making machines
PID Controllers
Process control
Slurries
Three-term control
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Summary:The paper presents the development of a fuzzy PID Controller for a multi input and multi output paper machine system. The job of paper machine is to transform slurry of water and wood cellulose fibers into a saleable sheet of paper as efficiently as possible. The controller used in this process is PID controller because of the simple structure and robust performance. PID controllers however have some disadvantages, one of which is they are originally meant for single input and single output systems. In order to overcome these disadvantages, a fuzzy system is developed. Moreover, a combination of fuzzy controller with PI and PID controllers is developed to obtain better results. Even though fuzzy system is giving better performance than the conventional controller, the optimal performance is not found. The optimal performance of the fuzzy system Multi Input Multi Output model, PID Controllers, Fuzzy logic controllers, Genetic Algorithm is achieved by designing the fuzzy membership functions by using genetic algorithms.