摘要
汽车检测与诊断技术对保障行驶稳定性具有重要的意义。为了进一步提高阀驱气门运动控制精度以及运动稳定性,通过粒子群算法(PSO)对PID控制改进。利用PSO以随机方式生成粒子群,通过粒子对PID控制器赋值。研究结果表明:采用PSO算法能够有效调节电液传动,提升其跟踪精度,具有良好的抗干扰性和噪声过滤能力。开发PID控制器可以发挥PSO的综合优势,显著增强了气门升程的调节效率。该研究对提升汽车发动机性能具有很好的实际应用效果。
Vehicle detection and diagnosis technology is of great significance to ensure driving stability.In order to further improve the motion control accuracy and stability of the valve drive valve,the PID control is improved by particle swarm optimization(PSO).PSO is used to generate particle swarm randomly and assign value to PID controller by particle.The results show that the PSO algorithm can effectively adjust the electro-hydraulic transmission,improve the tracking accuracy,and have good anti-interference and noise filtering ability.The development of PID controller can give full play to the comprehensive advantages of PSO and significantly enhance the efficiency of valve lift regulation.The research has a good practical effect on improving the performance of automobile engine.
作者
朱镜瑾
Zhu Jingjin(School of Automotive Engineering,Huanghe Jiaotong University,Jiaozuo Henan 454950,China)
出处
《机械管理开发》
2025年第5期9-11,共3页
Mechanical Management and Development
基金
2023年度河南省本科高校研究性教学改革研究与实践项目“基于‘省级精品在线开放课程’建设的汽车检测与诊断技术研究性教学模式研究”(教高〔2023〕388号)。
关键词
阀驱气门
PID控制
粒子群算法
速度跟踪
valve drive
PID control
particle swarm optimization
velocity tracking
