摘要
在汽车起动机的性能测试设备研制中,负载模拟是一项关键技术。为适应某新型综合测试设备具备多功能和通用性的要求,研制了一种气—液比例控制刹车系统作为模拟负载,并为之设计了智能控制器。该控制器将PID算法与神经网络学习技术相结合,通过在线优化PID参数,提高了负载的闭环特性和自适应能力,保障了对多种型号起动机的参数检测快速、准确。该系统已在起动机生产线上实际运行,效果良好。
Load-imitating is a key technology in the development of automobile starters' performance CAT bench. In order to meet the multi-function and versatile requirements of a new general type, a proportional-tuning pneumatic-hydraulic brake system functioned as imitated load is developed, a corresponding intelligent controller is also designed for it. The controller combines PID algorithm with a neural network which can optimize the PID parameters dynamically on line, this makes the load system gain fine close-loop characteristics and adaptability which guarantees the performance test to various types of starters quickly and accurately. The load system runs stably and well on a starter assembly line. ©, 2005, Science Press. All right reserved.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2005年第4期411-414,421,共5页
Chinese Journal of Scientific Instrument
基金
福建省青年科技人才创新基金资助项目 (2 0 0 3J0 61 - 1 4 0 1 0 5)