Multi-objective optimization of magneto-rheological mount structure based on vehicle vibration control

Abstract

Considering the influence of mount structure parameters on the quality of vehicle noise, vibration and harshness (NVH), a multi-objective optimization method of the magneto-rheological (MR) mount based on vehicle vibration control was proposed. A lumped parameter model was used to establish the relationship between the structure parameters of the MR mount and the NVH performance of the vehicle. Considering the influence of current on the magneto-rheological fluid viscosity and flow rate in damping channel, the dynamic characteristics of MR mount was obtained by the lumped parameter model. Then, a 10 degrees of freedom (DOF) vehicle model with MR mounting system was established. Finally, a co-simulation optimal platform was developed by the ISIGHT, MATLAB, and ANSYS software, and the non-dominated sorting genetic algorithm II was used to optimize the design of the mount magnetic circuit with the goal of improving the quality of vehicle NVH. The results showed that under the start/stop and the constant speed conditions, the root mean square values of vibration acceleration of the driver’s seat rail of the vehicle with the optimal design magneto-rheological mount decreases by 31.6% and 7.8%, respectively compared with the initial design mount, improved the ride comfort of the vehicle.

Study on the integrated structure/control design method of magnetorheological damper for improving vehicle posture

“…And the vertical acceleration RMS a rms 3 and pitch angular acceleration RMS θ rms 3 before the integrated design in the emergency braking condition as constraints. 27 The solution process used non-dominated sorting genetic algorithm II (NSGA-II) as the optimization algorithm, 28 the population number and optimization algebra were 12 and 50, respectively. Classify the population based on non-dominance and assign a new set of design variables to generate the next generation.…”

Active Control for Marine Engine Room Noise Using an FXLMS Algorithm

“…Some researchers studied the fuel injection and control strategy from the perspective of the combustion side to reduce the combustion noise of engines [9,10] while the speed and frequency variations challenge to passive noise reduction. Researchers pay more attention to controllable magnetorheological damping with linear or nonlinear system control methods for better vibration and noise control [11][12][13].…”

Shape optimization of magnetorheological damper piston based on parametric curve for damping force augmentation

“…State transformation occurs only in milliseconds. Making full use of MR fluid, MR actuators, usually in the form of MR dampers, MR brakes, MR valves, and MR clutches, are widely used in industrial [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16], haptic [17][18][19], and medical [20][21][22][23] applications with fast response, large force/torque capacity, and low power consumption.…”

“…The objective functions are the requirements that certain parameters should be maximized, minimized, or within certain ranges. Some typical objective functions are force [2, 3, 9-11, 15-17, 19, 24-34], torque [4, 5, 7, 8, 12-14, 17-21, 34-42], torque density [43], yield stress [44], moment of inertia [13], mass [4-7, 18-20, 22, 23, 28, 39, 40, 42, 45-48], volume [24,29], temperature [7,12,14], magnetic flux density [25,29,49], acceleration [1,3], response time [4,6,9,15,16,[25][26][27][28]50], dynamic range [6, 9, 15, 16, 25-30, 32, 34, 37, 41, 51, 52], power consumption [8, 21-23, 26-28, 39, 50, 51], area of magnetic circuit [10], coil turns [52], pressure drop [50,51,53,54], and error [43], etc. Sometimes the cost function composed of several subobjective functions and constraints with respective weights is used as the objective function.…”