Fuzzy Gain Scheduling of Multivariable Processes

摘要

The intense and increasing interest of industry on Automation technologiesclaimed deep research in this field. Emerging techniques like Fuzzy Logic have been studied and successfully applied to process control. Traditional control methods, e.g., PID-based, have poor performances when applied to modern processes whole models are strongly non-linear and multivariable-based. Fuzzy logic controllers might provide better results through advanced methodologies like gain scheduling, for example. In this thesis, multivariable non-linear systems have been considered. To perform the control of the process, multivariable PI controller has been used. A fuzzy gain scheduler has been developed to allow the controller producing the optimal control action at different operating points. An algorithm has been used to execute the off-line tuning in each of operating point, and a fuzzy sub-system performs a fine tuning.