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作 者:徐珊珊[1] 赵娜[2] XU Shanshan;ZHAO Na(Inner Mongolia Vocational and Technical College of Communications,Inner Mongolia 024000,China;Inner Mongolia University of Science&Technology,Inner Mongolia 024000,China)
机构地区:[1]内蒙古交通职业技术学院,赤峰024000 [2]内蒙古科技大学,包头014010
出 处:《汽车安全与节能学报》2023年第5期570-579,共10页Journal of Automotive Safety and Energy
基 金:内蒙古自治区教育厅高等学校科学研究项目(NJSY21390)。
摘 要:混凝土罐车在行驶过程中罐内流体晃动引起的非轴对称问题受到复杂路面对车辆的激励影响,使得流体晃动与车身动态出现耦合。传统的液压驱动比例积分微分(PID)控制方法在应对此类问题时效果欠佳,容易导致倾覆等事故的发生。为提升液压驱动控制系统的精度和稳定性,该文提出了基于弹性萤火虫(FA)算法的优化粒子滤波器PID自适应控制方法,加速控制参数优化的收敛速度,并分析其液压驱动控制特点和结构上的应用。结果表明:提出的自适应控制方法与传统PID控制相比,能够显著降低液压驱动控制平均速度误差至0.06 km/h,最大速度误差降至0.29 km/h,同时还提高了控制跟踪性能和稳定性,对混凝土罐车液压驱动控制优化的实际应用具有重要的参考价值。The non-axisymmetric problem caused by fluid shaking in the tank of a concrete tanker during driving is affected by the excitation of the vehicle on the complex road surface,which makes the fluid shaking coupled with the body dynamics.The traditional hydraulic drive proportion-integration-differentiation(PID)control method is ineffective in dealing with such problems,which can easily lead to accidents such as overturning.In order to improve the accuracy and stability of the hydraulic drive control system,a firefly optimized particle filter PID adaptive control method based on the elastic firefly algorithm(FA)was proposed to accelerate the convergence speed of the optimization of the control parameters and to analyze its hydraulic drive control characteristics and structural applications.The results show that the proposed adaptive control method can significantly reduce the average speed error of hydraulic drive control to 0.06 km/h and the maximum speed error to 0.29 km/h in comparation with the traditional PID control,and also improve the control tracking performance and stability,which has an important reference value for the practical application of the optimization of the hydraulic drive control of concrete tanker.
关 键 词:自适应控制 液压驱动 混凝土罐车 弹性萤火虫算法(FA)
分 类 号:U469.65[机械工程—车辆工程] TD561[交通运输工程—载运工具运用工程]
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