摘要
该文设计了一种基于Matlab和模糊比例积分微分PID(proportional-integral-derivative)的汽车定速巡航控制系统,该巡航控制系统由模拟数字信号输入装置、定速巡航控制电子控制单元和节气门执行器等器件组成。为提高汽车巡航的精度和稳定性,提出了一种基于Matlab和模糊PID的自适应模糊控制方法,该控制算法在线优化模糊控制规则以及输出比例因子,既保留了传统模糊控制的优点,又有效改善了系统的控制品质,实车试验结果表明,试验车(上海大众帕萨特1.8MT)在40、60、80、100km/h定速巡航控制系统稳定时间分别在38、53、65、80s,超调量分别是0.5、0.4、1.2、1.0km/h。该系统稳定速度快,超调量小,系统工作稳定,可以较好地满足汽车巡航系统中控制需求。
A cruise control system based on Matlab and fuzzy PID （proportional-integral-derivative） control for automobile was proposed and was composed of analog signal input device, electronic control unit of cruise control system, throttle actuators and so on. In order to improve accuracy and stability of automobile cruise, a self-adapted PID fuzzy control algorithm was proposed and the fuzzy rules and proportion factor of fuzzy output were optimized in this algorithm, in which the advantages of conventional fuzzy control not only was retained, but also performance of cruise control system was improved this algorithm. Vehicle （Shanghai Volkswagen Passat 1.8 MT） test results showed that when vehicle （Shanghai Volkswagen Passat 1.8 MT） cruised at constant speed 40, 60, 80, 100 kin/h, stable time of the automobile cruise control system was at 38, 53, 65, 80 s, and overtake speed was at 0.5, 0.4, 1.2, 1.0 km/h, respectively. The system proposed in this paper eliminates the automobile error effectively with rapid response, keeps in small overstake speed and works stably, which meets the need of control for automobile cruise control system.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2012年第6期197-202,共6页
Transactions of the Chinese Society of Agricultural Engineering
基金
江苏省高校自然科学基金项目(项目编号:10KJB170012)
江苏省教育厅产业化资助项目(项目编号:JS10-44)
