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1. 中兵智能创新研究院有限公司, 北京 100072
2. 群体协同与自主实验室, 北京 100072
Received:21 August 2023,
Published Online:12 December 2023,
Published:30 November 2023
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Bo PAN, Shengfei LI, Yang WANG, et al. Integrated Control Method of Multi-axle Distributed Driving Unmanned Ground Vehicle in Handling Limit[J]. Acta Armamentarii, 2023, 44(11): 3279-3294.
Bo PAN, Shengfei LI, Yang WANG, et al. Integrated Control Method of Multi-axle Distributed Driving Unmanned Ground Vehicle in Handling Limit[J]. Acta Armamentarii, 2023, 44(11): 3279-3294. DOI: 10.12382/bgxb.2023.0775.
包络线控制起源于航空航天工业
它提供了飞行状态的安全保障和机动边界
为飞行器控制带来了良好效果。基于8×8多轴分布式驱动无人车辆和包络线方法核心思想
提出一种将车辆推向极限的整车动力学控制器。通过建立轮胎滑移圆提出一种新的方法以用于评估车辆驱动力状态
并将轮胎滑移状态与车辆“
g-g
”图相结合
用来实现无人驾驶状态下逼近车辆操纵能力极限
发挥车辆动力性能与灵活性能
同时确保在轨迹跟踪时的跟踪精度
精准高效地完成平台任务。考虑外界环境不确定扰动与因素变化对极限状态下车辆稳定性影响
基于车辆横向动力学模型的稳定特性分析
获得不同条件下稳定域相平面
并探索其变化机理、归纳数学描述表达式。通过对车辆稳定相平面的分析
提出以车辆横摆力矩为输出的稳定保持控制器。针对上层控制器驱动力与横摆力矩的输出
设计下层转矩分配控制策略
通过冗余执行器的最优分配实现整车性能发挥。整车集成控制策略部署于一辆8×8原型试验车辆
在越野路面上进行多项科目测试
试验结果表明:在高速条件下
无人车在轨迹跟踪中具有更好的动力性能和安全性能。
Envelope control originated in the aerospace industry
which provides the safety guarantees and movement limit and brings a better performance in aircraft control. A vehicle dynamics controller
which pushes the vehicle in handling limit
is proposed based on 8×8 distributed driving unmanned ground vehicle and the core idea of envelope method. Firstly
a novel method is proposed to evaluate the driving force status of vehicle by establishing a tire slip circle. The tire slip status and “
g-g
” diagram are combined to achieve approaching the vehicle handling limit under autonomous driving
and to perform the vehicle’s mobility and maneuverability. On the other hand
the controller is used to insure the tracking accuracy
during trajectory tracking which can complete tasks more accurately and efficiently. Subsequently
in considering the impact of external environmental uncertainties on the stability of vehicles in extreme states
the stability phase planes under different conditions are obtained based on the analysis of stability characteristics of vehicle lateral dynamics model
and the mathematical expressions of them are summarized according to change mechanism. A stability maintaining controller with yaw moment output is proposed by analyzing the stability phase plane. Finally
based on the output of the upper-level controller
a lower-level torque distribution control strategy is designed to achieve full performance through the optimal allocation of actuators. The integrated control strategy is deployed on an 8×8 prototype vehicle and was tested with multiple subjects under the condition of off-road. The test results show that the vehicle has better dynamic performance and safety in trajectory tracking under high-speed condition.
ZHOU J Y , YU H . Safety critical control of mixed-autonomy traffic via a single autonomous vehicle [C ] // Proceedings of IEEE Conference on Intelligent Transportation Systems . Macau, China : IEEE , 2022 : 3089 - 3094 .
AMMOUR M , ORJUELA R , BASSET M . Collision avoidance for autonomous vehicle using MPC and time varying sigmoid safety constraints [J ] . IFAC-PapersOnLine , 2021 , 54 ( 10 ): 39 - 44 .
SEO J W , LEE J H , BAEK E , et al . Safety-critical control with nonaffine control inputs via a relaxed control barrier function for an autonomous vehicle [J ] . IEEE Robotics & Automation Letters , 2022 , 7 ( 2 ): 1944 - 1951 .
CHEN Y , CHEN S Z , REN H B , et al . Path tracking and handling stability control strategy with collision avoidance for the autonomous vehicle under extreme conditions [J ] . IEEE Transaction on Vehicular Technology , 2022 , 69 ( 12 ): 14602 - 14617 . DOI: 10.1109/TVT.25 http://doi.org/10.1109/TVT.25 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=25 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=25
WHITSON J A , GORSICH D , VANTSEVICH V V , et al . Military unmanned ground vehicle maneuver: a review and formulation [C ] // Proceedings of SAE 2023 World Congress Experience . Detroit, MI, US : SAE International , 2023 .
CHEN Y L , WANG J T , ZHU S T , et al . Knowledge graph construction for foreign military unmanned systems [J ] . Communications in Computer and Information Science , 2022 , 1711 ( 6 ): 127 - 137 .
WU S B , LI S H , GONG J W , et al . Modeling and quantitative evaluation method of environmental complexity for measuring autonomous capabilities of military unmanned ground vehicles [J ] . Unmanned Systems , 2023 , 11 ( 4 ): 367 - 382 . DOI: 10.1142/S2301385023500176 http://doi.org/10.1142/S2301385023500176 https://www.worldscientific.com/doi/10.1142/S2301385023500176 https://www.worldscientific.com/doi/10.1142/S2301385023500176 This paper proposes a sampling-based multi-dimensional entropy hierarchical evaluation method to evaluate the environmental complexity for measuring autonomous capabilities of military unmanned ground vehicles. Through establishing the multi-dimensional environment model, the complexity of environmental elements in various dimensions is measured by combining the analytic hierarchy process and the improved gravitational field model. Based on the graph entropy and the environment segmentation sampling strategy, the environmental complexity is comprehensively evaluated from the two perspectives of the objective complexity of the environmental structure and the subjective complexity of environmental characteristics. The evaluation of the actual test environment shows that the environmental complexity evaluation model can effectively reflect the individual complexity differences of environmental elements, and achieve the comprehensive complexity evaluation of the environment including multiple test scenarios, which provides a basis for the test scenario design and measuring autonomous capabilities of military unmanned ground vehicles.
NARANJ J E , JIMENEZ F , ANGUITA M , et al . Automation kit for dual-mode military unmanned ground vehicle for surveillance missions [J ] . IEEE Intelligent Transportation Systems Magazine , 2023 , 12 ( 4 ): 125 - 137 . DOI: 10.1109/MITS.5117645 http://doi.org/10.1109/MITS.5117645 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645
ANAND A , CHERUKURI M , SAMANTA I S , et al . Unmanned integrated autonomous vehicle: swayambhu [C ] // Proceedings of the 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology . Bhubaneswar, India : IEEE , 2022 .
PARKER M , QUINN B , BATES J , et al . Exploring cold regions autonomous operations [J ] . Journal of Terramechanics , 2021 , 96 : 159 - 165 . DOI: 10.1016/j.jterra.2021.03.003 http://doi.org/10.1016/j.jterra.2021.03.003 https://linkinghub.elsevier.com/retrieve/pii/S0022489821000240 https://linkinghub.elsevier.com/retrieve/pii/S0022489821000240
AHMADI K D , RASHIDI A J , MOGHRI A M . Design and simulation of autonomous military vehicle control system based on machine vision and ensemble movement approach [J ] . Journal of Supercomput , 2022 , 78 : 17309 - 17347 . DOI: 10.1007/s11227-022-04565-6 http://doi.org/10.1007/s11227-022-04565-6
IAGNEMMA M B K . Special issue on the darpa grand challenge, Part 2 [J ] . Journal of Field Robotics , 2006 , 23 : 661 - 692 . DOI: 10.1002/rob.v23:9 http://doi.org/10.1002/rob.v23:9 https://onlinelibrary.wiley.com/toc/15564967/23/9 https://onlinelibrary.wiley.com/toc/15564967/23/9
HE X K , LIU Y L , LÜ C , et al . Emergency steering control of autonomous vehicle for collision avoidance and stabilization [J ] . Vehicle System Dynamics , 2019 , 57 ( 8 ): 1163 - 1187 . DOI: 10.1080/00423114.2018.1537494 http://doi.org/10.1080/00423114.2018.1537494 https://www.tandfonline.com/doi/full/10.1080/00423114.2018.1537494 https://www.tandfonline.com/doi/full/10.1080/00423114.2018.1537494
FU T F , ZHOU H L , LIU Z Y . NMPC-based path tracking control strategy for autonomous vehicles with stable limit handling [J ] . IEEE Transactions on Vehicular Technology , 2022 , 71 ( 12 ): 12499 - 12510 . DOI: 10.1109/TVT.2022.3196315 http://doi.org/10.1109/TVT.2022.3196315 https://ieeexplore.ieee.org/document/9850410/ https://ieeexplore.ieee.org/document/9850410/
DALLAS J , THOMPSON M , GOH J Y M , et al . A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles:arXiv:2304.12263V1 [R ] . Ithaca,NY,US:Cornell University , 2023 :2304.12263V1.
HOU X H , ZHANG J Z , HE C K , et al . Autonomous driving at the handling limit using residual reinforcement learning [J ] . Advanced Engineering Informatics , 2022 , 54 .DOI: 10.1016/j.aei.2022.101754 https://dx.doi.org/10.1016/j.aei.2022.101754 .
PAPINI G P R , PLEBE A , LIO M D , et al . A reinforcement learning approach for enacting cautious behaviours in autonomous driving system: Safe speed choice in the interaction with distracted pedestrians [J ] . IEEE Transactions on Intelligent Transportation Systems , 2022 , 23 ( 7 ): 8805 - 8822 . DOI: 10.1109/TITS.2021.3086397 http://doi.org/10.1109/TITS.2021.3086397 https://ieeexplore.ieee.org/document/9456943/ https://ieeexplore.ieee.org/document/9456943/
BETZ J , ZHENG H , LINIGER A , et al . Autonomous vehicles on the edge: a survey on autonomous vehicle racing [J ] . IEEE Open Journal of Intelligent Transportation Systems , 2022 , 3 : 458 - 488 . DOI: 10.1109/OJITS.2022.3181510 http://doi.org/10.1109/OJITS.2022.3181510 https://ieeexplore.ieee.org/document/9790832/ https://ieeexplore.ieee.org/document/9790832/
ROSOLIA U , CARVALHO A , BORRELLI F . Autonomous racing using learning model predictive control [C ] // Proceedings of IEEE American Control Conference . Seattle, WA, US : IEEE , 2017 , 54 : 5115 - 5120 .
ROSOLIA U , ZHANG X , BORRELLI F . Robust learning model predictive control for iterative tasks: learning from experience [C ] // Proceedings of the IEEE 56th Annual Conference on Decision and Control . Melbourne, VIC, Australia : IEEE , 2017 : 1157 - 1162 .
ROSOLIA U , BORRELLI F . Learning how to autonomously race a car: a predictive control approach [J ] . IEEE Transactions on Control Systems Technology , 2022 , 28 ( 6 ): 2713 - 2719 . DOI: 10.1109/TCST.87 http://doi.org/10.1109/TCST.87 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=87 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=87
胡宇辉 , 王旭 , 胡家铭 , 等 . 越野环境下无人驾驶车辆技术研究综述 [J ] . 北京理工大学学报 , 2021 , 41 ( 11 ): 1137 - 1144 .
HU Y H , WANG X , HU J M , et al . An overview on unmanned vehicle technology in off-road environment [J ] . Transactions of Beijing Institute of Technology , 2021 , 41 ( 11 ): 1137 - 1144 . (in Chinese)
刘忠泽 , 陈慧岩 , 崔星 , 等 . 无人平台越野环境下同步定位与地图创建 [J ] . 兵工学报 , 2019 , 40 ( 12 ): 2399 - 2406 . DOI: 10.3969/j.issn.1000-1093.2019.12.002 http://doi.org/10.3969/j.issn.1000-1093.2019.12.002 为了满足无人平台在越野环境下碰撞检测以及定位的需求、解决三维点云地图处理计算资源耗费大的问题,设计一种适用于越野环境的同步定位与地图创建方案。提出一种拓扑层次地图,将整个地图划分为多个具有层级结构的三维体素子地图,并以概率方法表示每个体素的状态,进而提取可通行区域。基于三维激光雷达和惯性测量单元,提出一种基于分支定界法的旋转直方图最近邻匹配实时闭环检测方法,并使用Ceres优化稀疏位姿图实现6自由度全局位姿实时优化。越野环境下的实验结果显示:该地图的创建以及可通行区域的提取效果良好,全局定位误差在1 m以内,姿态基本与参考高精度惯性导航系统保持一致;基于该方案提取的可通行区域以及位姿优化结果可满足无人平台实时运动的需求。
LIU Z Z , CHEN H Y , CUI X , et al . Real-time lidar SLAM in off-road environment for UGV [J ] . Acta Armamentarii , 2019 , 40 ( 12 ): 2399 - 2406 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2019.12.002 http://doi.org/10.3969/j.issn.1000-1093.2019.12.002 Simultaneous localization and mapping (SLAM) plays a more and more important role in the environment perception system of unmanned ground vehicle (UGV). A hierarchical global topological map is proposed to solve the low real time capability problem during processing of 3D lidar point cloud map, which divides the entire map into many submaps consisting of large numbers of tree-structure-based voxels, and the submaps are organized with the help of topology. The probabilistic methods are used to represent the state of each voxel being occupied/null. A transitable area is extracted based on the submaps for the UGV's path planning. With the help of an inertial measurement unit (IMU) and two 3D lidars, a branch and bound search (BBS)-based loop detection algorithm called RHM-ICP algorithm is proposed to realize a real time 6-degrees-of-freedom global pose optimization with the help of Ceres, which is to process the sparse pose adjustment (SPA). Experimental results obtained from a real large-scale off-road environment shows an effective reduction of lidar odometry pose accumulative error with a global location error of less than 1 m and a good performance of 3D mapping. Key
GRAF U , BORGES P , HERNANDEZ E , et al . Optimization-based terrain analysis and path planning in unstructured environments [C ] // Proceedings of 2019 International Conference on Robotics and Automation . Montreal, Canada : IEEE , 2019 : 5614 - 5620 .
YU S Y , SHEN C K , ERSAL T . Nonlinear model predictive planning and control for high-speed autonomous vehicles on 3D terrains [J ] . IFAC-PapersOnLine , 2021 , 54 ( 20 ): 412 - 417 .
FAN J J , LIU Y Z , LIU Y . Motion control of tracked vehicles based on MRAC [C ] // Proceedings of CICTP: Transportation Evolution Impacting Future Mobility-Selected Papers From the 20th COTA International Conference of Transportation Professionals . Xi’an, China : ASCE , 2020 : 609 - 619 .
胡家铭 , 胡宇辉 , 陈慧岩 , 等 . 基于模型预测控制的无人驾驶履带车辆轨迹跟踪方法研究 [J ] . 兵工学报 , 2019 , 40 ( 3 ): 11 - 18 .
HU J M , HU Y H , CHEN H Y , et al . Research on trajectory tracking of unmanned tracked vehicles based on model predictive control [J ] . Acta Armamentraii , 2019 , 40 ( 3 ): 11 - 18 . (in Chinese)
ZHAO Z Y , LIU H O , CHEN H Y , et al . Kinematics-aware model predictive control for autonomous high-speed tracked vehicles under the off-road conditions [J ] . Mechanical System and Signal Processing , 2019 , 123 : 333 - 350 . DOI: 10.1016/j.ymssp.2019.01.005 http://doi.org/10.1016/j.ymssp.2019.01.005 https://linkinghub.elsevier.com/retrieve/pii/S0888327019300068 https://linkinghub.elsevier.com/retrieve/pii/S0888327019300068
付苗苗 . 高速无人车辆极限包络特性与轨迹跟踪方法研究 [D ] . 北京 : 北京理工大学 , 2016 .
FU M M . Research on envelope of high-speed unmanned vehicle and path tracking [D ] . Beijing : Beijing Institute of Technology , 2016 . (in Chinese)
解云鹏 . 极限工况下无人驾驶车辆运动控制策略研究 [D ] . 镇江 : 江苏大学 , 2021 .
XIE Y P . Research on motion control strategy for extreme maneuvers of self-driving vehicle [D ] . Zhenjiang : Jiangsu University , 2021 . (in Chinese)
WANG Y , ZHAO X J , LI S F , et al . Path tracking of eight in-wheel-driving autonomous vehicle: controller design and experimental results [C ] // Proceedings of IEEE ICUS . Beijing, China : IEEE , 2019 : 672 - 677 .
TU X Y , GAI J Y , TANG L . Robust navigation control of a 4WD/4WS agricultural robotic vehicle [J ] . Computers and Electronics in Agriculture , 2019 , 164 : 104829 .
刘明春 . 8×8轮毂电机驱动车辆操纵稳定性分析与控制研究 [D ] . 北京 : 北京理工大学 , 2015 .
LIU C M . Research on handling stability and control with 8×8 hub-motor driving vehicle [D ] . Beijing : Beijing Institute of Technology , 2015 . (in Chinese)
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