为实现车道在正常情况下的少人化、无人化交易服务,为特情车辆提供智慧化的服务,提高车辆的通行效率,完善智慧高速建设。结合云、大数据和人工智能(artificial intelligence,AI)技术,在车道前端以智能硬件和应用软件为载体,后台以软件...为实现车道在正常情况下的少人化、无人化交易服务,为特情车辆提供智慧化的服务,提高车辆的通行效率,完善智慧高速建设。结合云、大数据和人工智能(artificial intelligence,AI)技术,在车道前端以智能硬件和应用软件为载体,后台以软件服务化(software as a service,SaaS)云服务为主要形式,构建智慧收费云+无人收费站系统。该系统节约了路段经营单位的收费运营成本、建设投资成本和后期维护成本,提升了路段经营管理单位的服务水平,彰显了高速公路的智慧服务能力。展开更多
Electronic throttle control (ETC) system has worked its way to becoming a standard subsystem in most of the current automobiles as it has contributed much to the improvement of fuel economy, emissions, drivability and...Electronic throttle control (ETC) system has worked its way to becoming a standard subsystem in most of the current automobiles as it has contributed much to the improvement of fuel economy, emissions, drivability and safety. Precision control of the subsystem, which consists of a dc motor driving a throttle plate, a pre-loaded return spring and a set of gear train to regulate airflow into the engine, seems rather straightforward and yet complex. The difficulties lie in the unknown system parameters, hard nonlinearity of the pre-loaded spring that pulls the throttle plate to its default position, and friction, among others. In this paper, we extend our previous results obtained for the modeling, unknown system parameters identification and control of a commercially available Bosch’s DV-E5 ETC system. Details of modeling and parameters identification based on laboratory experiments, data analysis, and knowledge of the system are provided. The parameters identification results were verified and validated by a real-time PID control implemented with an xPC Target. A nonlinear control design was then proposed utilizing the input-output feedback linearization approach and technique. In view of a recent massive auto recalls due to the controversial uncontrollable engine accelerations, the results of this paper may inspire further research interest on the drive-by-wire technology.展开更多
文摘为实现车道在正常情况下的少人化、无人化交易服务,为特情车辆提供智慧化的服务,提高车辆的通行效率,完善智慧高速建设。结合云、大数据和人工智能(artificial intelligence,AI)技术,在车道前端以智能硬件和应用软件为载体,后台以软件服务化(software as a service,SaaS)云服务为主要形式,构建智慧收费云+无人收费站系统。该系统节约了路段经营单位的收费运营成本、建设投资成本和后期维护成本,提升了路段经营管理单位的服务水平,彰显了高速公路的智慧服务能力。
文摘Electronic throttle control (ETC) system has worked its way to becoming a standard subsystem in most of the current automobiles as it has contributed much to the improvement of fuel economy, emissions, drivability and safety. Precision control of the subsystem, which consists of a dc motor driving a throttle plate, a pre-loaded return spring and a set of gear train to regulate airflow into the engine, seems rather straightforward and yet complex. The difficulties lie in the unknown system parameters, hard nonlinearity of the pre-loaded spring that pulls the throttle plate to its default position, and friction, among others. In this paper, we extend our previous results obtained for the modeling, unknown system parameters identification and control of a commercially available Bosch’s DV-E5 ETC system. Details of modeling and parameters identification based on laboratory experiments, data analysis, and knowledge of the system are provided. The parameters identification results were verified and validated by a real-time PID control implemented with an xPC Target. A nonlinear control design was then proposed utilizing the input-output feedback linearization approach and technique. In view of a recent massive auto recalls due to the controversial uncontrollable engine accelerations, the results of this paper may inspire further research interest on the drive-by-wire technology.
