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This paper presents a new method for controlling the gap distance in an EDM machine. Existing gap width control method using PI controller does not perform efficiently in a highly nonlinear and time-variant process such as EDM. In this method, constant tuning of the PI controller is required to achieve a stable and efficient EDM process. The new gap control method present in this paper uses an artificial intelligent type 2 fuzzy logic control to control the gap distance between the electrode and the workpiece. The main advantage of this proposed method is its robustness that would rid the practitioners from the tedious tuning job and would provide the industry with better accuracy and confidence in the control performance.

Using electrical machine in conventional vehicles, also called hybrid vehicles, has become a promising control scheme that enables some manners for fuel economy and driver assist for better stability. In this paper, vehicle stability control, fuel economy and Driving/Regeneration braking for a 4WD hybrid vehicle is investigated by using an electrical machine on each non-driven wheels. Fourteen degree of freedom vehicle body modeling and ADVISOR power-train/electrical components model will be used for modeling. Driving/Regeneration and stability enhancement are important in low and high speed respectively. The unequaled independent torques applied to the non-driven wheels provides the ability of vehicle dynamic control to assist the driver with path correction, thus enhancing cornering and straight-line stability and providing enhanced safety. So power managing between engine and electrical machines will be provided the fuel economy and regeneration in braking condition. For these goals, power management and Yaw moment control will be down in low and high speed respectively by proper fuzzy controller. Finally, a series of MATLAB/SIMULINK simulation will carried out to evaluate the performance of the proposed structure.