13-09-2017, 02:24 PM
Control systems packages have become essential ingredients of undergraduate and postgraduate courses in the area of control. This paper describes our experience with the use of MATLAB / sup TM / with its nebulous logic toolboxes and neural networks in electrical engineering control courses. While some of the methods in the area of intelligent systems and control have significant benefits to offer, engineers are often reluctant to use new intelligent control techniques for several reasons. Two fuzzy logic controllers for a gas turbine have been developed using velocities and mechanical power deviations. A neural network has been designed to adjust the gains of fuzzy logic controllers based on the operating conditions of the power plant. Feedback from students indicates that theoretical developments at conferences on control systems were only appreciated after laboratory exercises.