Journal of Shanghai Jiaotong University >
Learning Predictive Control of Vehicular Automated Cruise Systems Based on Gaussian Process Regression
Received date: 2019-12-17
Online published: 2020-10-10
Aimed at the preceding vehicular acceleration prediction problem in automated cruise systems, a learning predictive control strategy is proposed based on Gaussian process regression to meet people’s requirements for safety, comfort, and economy of vehicles. First, the method of Gaussian process regression is used to build the learning modeling of preceding vehicular acceleration. Then, the learning model is combined with the inter-vehicle kinematics models to define the predictive model of the vehicular automated cruise system. After that, the learning predictive controller is estabilished for the vehicular automated cruise system through optimizing the safety, driving comfort, and economy indexes online. Finally, under accelerating-decelerating classical driving scenarios, the effectiveness of the method proposed is compared with that of the traditional predictive cruise control on the CarSim/Simulink co-simulation platform. The results show that the method proposed is more effective and superior to traditional control strategies.
HE Defeng, PENG Binbin, GU Yujia, YU Shiming . Learning Predictive Control of Vehicular Automated Cruise Systems Based on Gaussian Process Regression[J]. Journal of Shanghai Jiaotong University, 2020 , 54(9) : 904 -909 . DOI: 10.16183/j.cnki.jsjtu.2020.173
| [1] | 张亮修, 吴光强, 郭晓晓. 车辆多目标自适应巡航控制算法[J]. 西安交通大学学报, 2016,50(11):136-143. |
| [1] | ZHANG Liangxiu, WU Guangqiang, GUO Xiaoxiao. Vehicular multi-objective adaptive cruise control algorithm[J]. Journal of Xi’an Jiaotong University, 2016,50(11):136-143. |
| [2] | 吴光强, 张亮修, 刘兆勇, 等. 汽车自适应巡航控制系统研究现状与发展趋势[J]. 同济大学学报(自然科学版), 2017,45(4):544-553. |
| [2] | WU Guangqiang, ZHANG Liangxiu, LIU Zhaoyong, et al. Research status and development trend of vehicle adaptive cruise control systems[J]. Journal of Tongji University (Natural Science), 2017,45(4):544-553. |
| [3] | ZHANG J, IOANNOU P A. Longitudinal control of heavy trucks in mixed traffic: Environmental and fuel economy considerations[J]. IEEE Transactions on Intelligent Transportation Systems, 2006,7(1):92-104. |
| [4] | HE D F, WANG L, SUN J. On stability of multiobjective NMPC with objective prioritization[J]. Automatica, 2015,57:189-198. |
| [5] | HE D F, HUANG H, CHEN Q X. Quasi-min-max MPC for constrained nonlinear systems with guaranteed input-to-state stability[J]. Journal of the Franklin Institute, 2014,351(6):3405-3423. |
| [6] | KAMAL M A S, MUKAI M, MURATA J, et al. Model predictive control of vehicles on urban roads for improved fuel economy[J]. IEEE Transactions on Control Systems Technology, 2013,21(3):831-841. |
| [7] | 李升波, 王建强, 李克强, 等. MPC实用化问题处理及在车辆ACC中的应用[J]. 清华大学学报(自然科学版), 2010,50(5):645-648. |
| [7] | LI Shengbo, WANG Jianqiang, LI Keqiang, et al. Processing of MPC practical problems and its application to vehicular adaptive cruise control systems[J]. Journal of Tsinghua University (Science and Technology), 2010,50(5):645-648. |
| [8] | EBEN LI S, LI K Q, WANG J Q. Economy-oriented vehicle adaptive cruise control with coordinating multiple objectives function[J]. Vehicle System Dynamics, 2013,51(1):1-17. |
| [9] | LI S E, JIA Z Z, LI K Q, et al. Fast online computation of a model predictive controller and its application to fuel economy-oriented adaptive cruise control[J]. IEEE Transactions on Intelligent Transportation Systems, 2015,16(3):1199-1209. |
| [10] | 朱敏, 陈慧岩. 考虑车间反应时距的汽车自适应巡航控制策略[J]. 机械工程学报, 2017,53(24):144-150. |
| [10] | ZHU Min, CHEN Huiyan. Strategy for vehicle adaptive cruise control considering the reaction headway[J]. Journal of Mechanical Engineering, 2017,53(24):144-150. |
| [11] | ZHAO R C, WONG P K, XIE Z C, et al. Real-time weighted multi-objective model predictive controller for adaptive cruise control systems[J]. International Journal of Automotive Technology, 2017,18(2):279-292. |
| [12] | MESBAH A. Stochastic model predictive control: An overview and perspectives for future research[J]. IEEE Control Systems, 2016,36(6):30-44. |
| [13] | LEFèVRE S, SUN C, BAJCSY R, et al. Comparison of parametric and non-parametric approaches for vehicle speed prediction [C]//American Control Conference. Portland, OR, USA: IEEE, 2014: 3494-3499. |
| [14] | RASMUSSEN C E, WILLIAMS C K I. Gaussian processes for machine learning[M]. Cambridge, MA, USA: The MIT Press, 2006. |
| [15] | 何志昆, 刘光斌, 赵曦晶, 等. 高斯过程回归方法综述[J]. 控制与决策, 2013,28(8):1121-1129. |
| [15] | HE Zhikun, LIU Guangbin, ZHAO Xijing, et al. Overview of Gaussian process regression[J]. Control and Decision, 2013,28(8):1121-1129. |
| [16] | 肖红军, 刘乙奇, 黄道平. 高斯过程建模方法在工业过程中的应用[J]. 华南理工大学学报(自然科学版), 2016,44(12):36-43. |
| [16] | XIAO Hongjun, LIU Yiqi, HUANG Daoping. Application of Gaussian process modeling method in industrial processes[J]. Journal of South China University of Technology (Natural Science Edition), 2016,44(12):36-43. |
| [17] | 陈虹. 模型预测控制[M]. 北京: 科学出版社, 2013. |
| [17] | CHEN Hong. Model predictive control[M]. Beijing: Science Press, 2013. |
| [18] | 孙涛, 夏维, 李道飞. 基于模型预测控制的协同式自适应巡航控制系统[J]. 中国机械工程, 2017,28(4):486-491. |
| [18] | SUN Tao, XIA Wei, LI Daofei. CACC system based on MPC[J]. China Mechanical Engineering, 2017,28(4):486-491. |
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