Research On Dynamic Balancing Technology Of Wheel Based On Virtual Instrument

The wheel is an important connection component between vehicle body and the ground, when the wheels rotate at high speed, owing to the effect of imbalance centrifugal force, leading to wheel produce periodic bobbing and lateral Shimmy, it affect the vehicle’s comfortable, operate stability and driving safety. Now people pay more and more attention on wheel dynamic balancing issue. It is meaningful to test wheels balancing and calibration.At present, the measurement system for the detection of wheel balancing equipment mainly use MCU to complete the analysis and processing work. Due to limitations of the single-chip performance, the existence of processing power and scalability is limited, and the problem of test accuracy is not enough.Virtual instrument technology has been widely applied to the field of measurement and control, completing the signal acquisition and analysis processing by software can reduce the number of hardware testing instrument. In this paper, wheel balancing test technology for the study point. Based on summarizing current dynamic balance test research, with a powerful computer processing power, the virtual instrument technology is applied in wheel balancing key technology development.Briefly describe the basic theory of rotor balancing, and research the theory and method of wheel balancing. According to decomposition principles that the theory of mechanics space force system, we deduce two sides of the balance principle. We establish kinetic model of wheels- support system two degrees of freedom(translation, swing) for solving differential equation of motion and analysis kinetic response that support system under the wheel unbalance excitation, and determine the amount of dynamic unbalance wheel plane separation equation.According to wheel balancing test signal characteristics, we utilize counter function of data acquisition device to measure the speed, and use cross-correlation method to achieve vibration signal characteristic parameter. Combined with the impact coefficient calibration method, we propose the double-sided influence coefficient method to complete parameter calibration that between the wheel unbalance and the support of the movable support system imbalance signal amplitude, we adapt correlation analysis to extract vibration signal characteristic parameters.The analysis and architecture of virtual wheel balancing test platform: we built hardware test platform is based on the United States NI’s PXI systems and we make a selection about data acquisition board and vibration sensor. According to modular programming ideas, we develop wheel balancing test program to finish program signal acquisition module, data analysis module and data management module by the use of Labview perform. We perform the wheels balance test on rotor vibration simulation test platform to verify the effectiveness of our wheel balance test system.