earticle

영어

In this research, Neuro-fuzzy fuzzy feedback linearization controller is recommended for sensitive three degrees of freedom dental actuator. To design stable high quality controller conventional feedback linearization controller is recommended. Conventional feedback linearization (FL) controller is a nonlinear, stable, and reliable controller. This controller is model-base and in uncertain situation, model-base is challenge. The nonlinear dynamic formulation problem in highly nonlinear system has been solved by fuzzy logic theorem. Fuzzy logic theory is used to estimate the system dynamics. This type of controller is free of mathematical dynamic parameters of plant. When system works in uncertainty, the nonlinearity term of system is not equal to equivalent term of FL controller. According to this technique, the number of rule base is reduced with respect to have PID like fuzzy logic controller. The simulation results show that the proposed controller works well in various situations. Based on result and discussion, proposed method can eliminate chattering in certain and uncertain condition. This controller reduces the level of energy due to the torque performance. This controller removed the fluctuation in presence of uncertainties.