基于随机森林算法的智能汽车变速器加载控制技术研究  

Research on load control technology of intelligent vehicle transmission based on random forest algorithm

作　　者：何宁发 张林飞 HE Ningfa;ZHANG Linfei(School of Automotive Engineering Guangdong Polytechnic of Science and Technology,Guangdong Zhuhai 519000,China)

机构地区：[1]广东科学技术职业学院汽车工程学院,广东珠海519000

出　　处：《自动化与仪器仪表》2025年第3期158-161,166,共5页Automation & Instrumentation

基　　金：广州市科技局基础与应用基础研究项目(202201010817);广东省教育厅高等学校特色创新项目(2021KTSCX215、2021KTSCX216);校级基金培育项目(XJPY202101)。

摘　　要：为准确预测和响应各种复杂情况,确保变速器加载过程的稳定性和可靠性,研究基于随机森林算法的智能汽车变速器加载控制技术。以智能汽车变速器转速误差与误差变化率,为模糊PID算法的输入,输出变速器加载控制电压;利用随机漂移粒子群算法,优化随机森林参数;在参数优化后的随机森林算法内输入控制电压,预测变速器加载控制的占空比,通过对比分析占空比和三角波生成脉冲宽度调制信号,控制变速器执行机构完成智能汽车变速器加载控制。实验证明:该技术可有效得到变速器加载控制电压,预测变速器加载控制占空比,精准完成智能汽车变速器加载控制;在缓起步与急起步时,应用该技术后,智能汽车加载过程中的冲击度与滑磨功均较小。In order to accurately predict and respond to various complex situations,and ensure the stability and reliability of transmission loading process,the transmission loading control technology of intelligent vehicle based on random forest algorithm is studied.Taking the speed error and error change rate of the intelligent vehicle transmission as the input of the fuzzy PID algorithm,the transmission loading control voltage is output.Random drift particle swarm optimization was used to optimize the random forest parameters.After parameter optimization,random forest algorithm is used to input control voltage to predict duty cycle of transmission load control.By comparing duty cycle and triangle wave to generate pulse width modulation signal,transmission actuator is controlled to complete transmission load control of intelligent vehicle.Experiments show that the technology can effectively obtain transmission load control voltage,predict transmission load control duty ratio,and accurately complete transmission load control of intelligent vehicles.When the technology is applied to slow start and fast start,the impact degree and slip work of the intelligent vehicle during loading are smaller.

关 键 词：随机森林算法 智能汽车 变速器 加载控制 模糊PID算法 粒子群 

分 类 号：TP273.3[自动化与计算机技术—检测技术与自动化装置]