Dynamic Analysis And Control Of An Active Power-train Mount Based On Magnetostrictive Actuator

As a connection between the engine and the frame, the isolation performance of mount is closely related to the NVH characteristics. Engineers have focused on using the active control loop to attenuate the vibration of power-train in order to meet the higher requirements for the comfort of the vehicle. Using the new intelligent material during the development of the active hydraulic mount is a novel way. In this paper, the controlled hydraulic mount was researched. According to the theory of the magnetostrictive actuator, the novel structure of a active hydraulic mount is designed and a simplified model of the hydraulic mount system is established and the control of the vibration isolation characteristics of the hydraulic mount is simulated.The theory of Gibbs energy for magnetostrictive material is studied. The nonlinear model of Terfenol-D magnetostrictive material is established, and the output characteristics of the magnetostrictive material is obtained. The nonlinear output of the actuator is received by building the equivalent model of the magnetostrictive actuator. The neural network inverse model of the nonlinear system is established in order to obtain the linear output of the actuator by combined the PID feedback control and feed-forward neural network control. A simplified hydraulic mount lumped parameter model is established. The dynamic stiffness the characteristics of hydraulic mount is analyzed under the condition of low frequency-large amplitude and high frequency-small amplitude excitation. The influence of the length and the area of inertia track on the vibration isolation performance are discussed. A novel type of active control hydraulic mount and its equivalent physical model are established. By using the basic method of optimal control theory, the force that transmitted to the vehicle frame and the control energy of the actuator are took as control targets. The best comprehensive performance of the system is gained with the weighted matrix based on the optimal theory. According to the results of simulation analysis, the force that transferred to the frame is significantly decreased. And the input energy of the actuator is within the design range.