Abstract :
Those attractive suspension frameworks of a low speed magnetic levitation train will be taken similarly as this article about study. The design and analysis of the suspended intelligent console on the magnetic train, and the redesign of the non-linear mathematical equations of the magnetic train suspension model were discussed. The structuring and implementation of an Interval Type-2 fuzzy controller and Type-1 Fuzzy controller like PID Controller to control the Magnetic Train in non-linear attractive levitation demonstrate to pursue the ideal position. Enough results are included to demonstrate that the power controller significantly reduces the parameter blurring effect (uncertainty) by performing a seamless control action. The parameters of IT2FLC-PID tuning by social spider Optimization Method (SSO) to achieve least error .Structuring and implementation of the Interval Type-2 fuzzy controller and Type-1 Fuzzy controller like PID Controllers to control the train in a nonlinear attractive levitation demonstrate to pursue the ideal position. The parameters of PID tuning by social spider Optimization Method (SSO) to achieve least error in the two controllers (IT2FLC and T1FLC). Metal train mass and coil resistance value changes as blurring (uncertainty) working to the magnetic train levitation system. The results with a non-linear magnetic train and blurring (uncertainty) parameters under the MATLAB condition are compared in several tests such as standard, blurring (uncertainty), and robustness.
Keyword :
Magnetic Train System, An interval, Type-2 Fuzzy logic (IT2FLC), Type-1 Fuzzy logic (T1FLC), Social Spider Optimization Method, SSO.