2017 11th International Conference on Intelligent Systems and Control (ISCO)

2017 ◽  
Keyword(s):  
Intelligent Systems ◽  
International Conference ◽  
Systems And Control ◽  
And Control

Neural Networks and Fuzzy Logic in Electrical Engineering Control Courses

2003 ◽  
Vol 40 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Francisco Jurado ◽  
Antonio Caño ◽  
Manuel Ortega
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Intelligent Systems ◽  
Fuzzy Logic Controllers ◽  
Analysis And Design ◽  
Modelling Analysis ◽  
Systems And Control ◽  
And Control ◽  
Theoretical Developments ◽  
Logic Controllers

Control system education must include experimental exercises that complement the theory presented in lectures. These exercises include modelling, analysis and design of a control system. Key concepts and techniques in the area of intelligent systems and control have been discovered and developed over the past few decades. While some of these methods have significant benefits to offer, engineers are often reluctant to utilise new intelligent control techniques, for several reasons. In this paper fuzzy logic controllers have been developed using speed and mechanical power deviations, and a neural network has been designed to tune the gains of the fuzzy logic controllers. Student feedback indicates that theoretical developments in lectures on control systems were only appreciated after the laboratory exercises.

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