Supervised fuzzy logic control on vehicle’s suspension system for chattering reduction and ride comfort enhancement

In this paper, a problem of ride comfort enhancement in a moving vehicle was introduced and controlled by damping force to deduce vibration caused by road profile. Sliding mode control was used to give the damping force in two degree of freedom suspension system. A mechanic model of suspension system was given, dampers and springs were used for passive damping to reduce chattering and sliding mode control for semi-active control with proposed method by using supervised fuzzy logic control for chattering decreasing was designed. A simulation with the given initial conditions was designed using Matlab/Simulink. By computing of root mean square error we got that the proposed method gave the best responses with the smallest chattering compared with traditional mechanical damping and sliding mode control. All results plotted using Matlab/Simulink.

Motion Tracking and Prediction using Fuzzy Logic

One of the principal applications of fuzzy logic is in control system design. Fuzzy logic controllers (FLC) can be used to control systems where the use of conventional control Techniques may be Problematic .in this paper Fuzzy logic controller is fabricated on modern Field Programmable Gate Array (FPGA)Card to track the sun to increase the energy generation efficiency of solar cells. Sun Tracking Controller is tested using model designed by Matlab/Simulink program. Finally we have compared with a conventional perturbation and observation controller. Simulation and experimental results show that performance of the fuzzy controller with FPGA is better than the perturbation and observation controller.