CAJ | 학술논문

为提高车辆行驶平顺性、减小轮胎对路面的动载荷，以某重载车辆空气悬架系统为研究对象，建立四自由度1/2车辆多目标优化模型，提出改进的多目标自适应遗传算法对悬架参数进行优化。与一般遗传算法相比，车身垂向加速度、前后轮动载荷有效值约减小10％，目标函数值改善度降低57．03％。该方法不仅能提高车辆行驶稳定性，且可减小轮胎对路面的动载荷，已进一步证明该方法的有效性及可行性。
위제고차량행사평순성、감소륜태대로면적동재하，이모중재차량공기현가계통위연구대상，건립사자유도1/2차량다목표우화모형，제출개진적다목표자괄응유전산법대현가삼수진행우화。여일반유전산법상비，차신수향가속도、전후륜동재하유효치약감소10％，목표함수치개선도강저57．03％。해방법불부능제고차량행사은정성，차가감소륜태대로면적동재하，이진일보증명해방법적유효성급가행성。
In order to improve the vehicle riding comfort and decrease the dynamic tire load on road,a 4-DOF pneumatic suspension model within a half vehicle model was established.Based on the model,a general genetic algorithm was used to solve the multi-objective optimization problem. Besides, an improved adaptive multi-objective genetic algorithm (MOGA)was proposed and applied to optimize the suspension parameters of heavy vehicle.Comparing with the conventional algorithm,the effective value of the vehicle body’s vertical acceleration and the front/rear-wheel dynamic load decrease by 10%,and the improvement degree of objective function value decreases remarkably by 57.03%.It is shown that by using the method proposed the riding stability is enhansed and the dynamic tire load on ground is reduced, which further verifies the effectiveness and feasibility of the improved adaptive MOGA.