Abstract

This paper presents the evaluation of the vibration control on the performance of magneto-rheological fluid damper (MR damper in short) for gun recoil system. In this study, a magneto-rheological (MR) damper type RD-8040 manufactured by Lord Corporation is used. Then, characterization of MR damper is carried out by varying recoil energy and input currents to obtain its behavior. The MR damper is then modeled using adaptive neuro-fuzzy inference system (ANFIS) technique. The mathematical model of the gun recoil system (plant in control structure) is formulated, and a control strategy known as a hybrid skyhook active force control (H-SAFC) is proposed. Then, a current generator is designed using inverse ANFIS method to supply accurate amount of input currents to the MR damper coils. The simulation analysis of control strategy is conducted by varying the recoil energy and its performance compared with passive damper system. In order to improve the H-SAFC performance, an adaptive mechanism is developed for the adapting with various recoil energies. The performance of adaptive H-SAFC is evaluated by the simulation and experiment, and the performance criteria such as jerk, accelerations and forces of the gun recoil system are analyzed in the time domain.

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