For automated vehicles,comfortable driving will improve passengers’ satisfaction.Reducing fuel consumption brings economic profits for car owners,decreases the impact on the environment and increases energy sustainab...For automated vehicles,comfortable driving will improve passengers’ satisfaction.Reducing fuel consumption brings economic profits for car owners,decreases the impact on the environment and increases energy sustainability.In addition to comfort and fuel-economy,automated vehicles also have the basic requirements of safety and car-following.For this purpose,an adaptive cruise control (ACC) algorithm with multi-objectives is proposed based on a model predictive control (MPC) framework.In the proposed ACC algorithm,safety is guaranteed by constraining the inter-distance within a safe range; the requirements of comfort and car-following are considered to be the performance criteria and some optimal reference trajectories are introduced to increase fuel-economy.The performances of the proposed ACC algorithm are simulated and analyzed in five representative traffic scenarios and multiple experiments.The results show that not only are safety and car-following objectives satisfied,but also driving comfort and fuel-economy are improved significantly.展开更多
总结含统一潮流控制器(unified power flowcontroller,UPFC)的系统潮流计算方法,在此基础上设计一个能与传统PQ潮流算法结合的UPFC潮流计算模型,将潮流计算结果与UPFC的稳态模型相结合,分析控制目标值与系统控制量、电气量的关系。提出...总结含统一潮流控制器(unified power flowcontroller,UPFC)的系统潮流计算方法,在此基础上设计一个能与传统PQ潮流算法结合的UPFC潮流计算模型,将潮流计算结果与UPFC的稳态模型相结合,分析控制目标值与系统控制量、电气量的关系。提出一种用中间控制变量代替直接控制方式的潮流控制策略,仿真结果证明该控制策略是合理、有效的。展开更多
基金Project supported by the National Hi-Tech Research and Develop-ment Program (863) of China (No. 2006AA11Z204)the Qianji-ang Program of Zhejiang Province (No. 2009R10008)
文摘For automated vehicles,comfortable driving will improve passengers’ satisfaction.Reducing fuel consumption brings economic profits for car owners,decreases the impact on the environment and increases energy sustainability.In addition to comfort and fuel-economy,automated vehicles also have the basic requirements of safety and car-following.For this purpose,an adaptive cruise control (ACC) algorithm with multi-objectives is proposed based on a model predictive control (MPC) framework.In the proposed ACC algorithm,safety is guaranteed by constraining the inter-distance within a safe range; the requirements of comfort and car-following are considered to be the performance criteria and some optimal reference trajectories are introduced to increase fuel-economy.The performances of the proposed ACC algorithm are simulated and analyzed in five representative traffic scenarios and multiple experiments.The results show that not only are safety and car-following objectives satisfied,but also driving comfort and fuel-economy are improved significantly.
文摘总结含统一潮流控制器(unified power flowcontroller,UPFC)的系统潮流计算方法,在此基础上设计一个能与传统PQ潮流算法结合的UPFC潮流计算模型,将潮流计算结果与UPFC的稳态模型相结合,分析控制目标值与系统控制量、电气量的关系。提出一种用中间控制变量代替直接控制方式的潮流控制策略,仿真结果证明该控制策略是合理、有效的。
