ABSTRACT The magnetorheological damper allows variable control of energy dissipation in a simple design. Rapid response time and efficient power requirements make the device one of the most effective means possible for interfacing mechanical components with electrical controls. These properties are due to the MR fluids ability to change from a free-flowing liquid to a semisolid in milliseconds when exposed to a magnetic field, and instantly back to a liquid when the field is removed. But highly nonlinear dynamic behavior is a significant challenge for applying to a control system. Research by others has shown that a system of nonlinear differential equations can successfully be used to describe the behavior of a MR damper. The paper presents a neuro fuzzy model for 0.3 ton MR-damper using Adaptive Neuro-Fuzzy Inference system (ANFIS). The results show that the neuro fuzzy model can predict the force of the damper for different excitation amplitudes and frequencies
A., E. (2008). NON-PARAMETRIC MODEL FOR EMULATING MAGNETORHEOLOGICAL DAMPER BEHAVIOR. The International Conference on Applied Mechanics and Mechanical Engineering, 13(13th International Conference on Applied Mechanics and Mechanical Engineering.), 44-54. doi: 10.21608/amme.2008.39374
MLA
ELTANTAWIE M. A.. "NON-PARAMETRIC MODEL FOR EMULATING MAGNETORHEOLOGICAL DAMPER BEHAVIOR". The International Conference on Applied Mechanics and Mechanical Engineering, 13, 13th International Conference on Applied Mechanics and Mechanical Engineering., 2008, 44-54. doi: 10.21608/amme.2008.39374
HARVARD
A., E. (2008). 'NON-PARAMETRIC MODEL FOR EMULATING MAGNETORHEOLOGICAL DAMPER BEHAVIOR', The International Conference on Applied Mechanics and Mechanical Engineering, 13(13th International Conference on Applied Mechanics and Mechanical Engineering.), pp. 44-54. doi: 10.21608/amme.2008.39374
VANCOUVER
A., E. NON-PARAMETRIC MODEL FOR EMULATING MAGNETORHEOLOGICAL DAMPER BEHAVIOR. The International Conference on Applied Mechanics and Mechanical Engineering, 2008; 13(13th International Conference on Applied Mechanics and Mechanical Engineering.): 44-54. doi: 10.21608/amme.2008.39374
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