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拖拉机-牵引式农机具路径跟踪控制算法研究

Path Tracking Control Algorithm of Tractor-Implement
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摘要 [目的/意义]本研究为解决牵引式农用车辆的路径跟踪精度低、迟滞性大和抗干扰能力差等问题,提出了一种基于滑模变结构控制的拖拉机-牵引式农机具路径跟踪方法。[方法]建立了拖拉机-牵引式农机具运动学模型,通过近似线性化的方法建立了车辆-道路偏差状态方程,采用Ackermann公式进行极点配置,设计基于指数趋近律的滑模变结构控制器,并在MATLAB/Carsim联合仿真环境中进行跟踪仿真分析。[结果和讨论]跟踪双移线参考路径时,农机具横向偏差和航向偏差经8 s收敛到0 m和0°,在参考航向变化时,横向偏差小于0.1 m,航向偏差小于7°;在跟踪圆形参考路径时,农机具横向偏差经过7 s趋于稳定,并始终小于0.03 m,农机具航向偏差经7 s趋于稳定,并保持在0°;在跟踪S形曲线参考路径时,农机具在曲率变化处依然保持着良好的跟踪性能。[结论]农机具能有效跟踪参考路径,满足精度和快速性的要求。在跟踪仿真试验中,拖拉机前轮转角和拖拉机与农机具间的铰接角都保持在小范围内,符合实际生产的需要,降低安全事故发生的可能性。 [Objective]The usual agricultural machinery navigation focuses on the tracking accuracy of the tractor,while the tracking effect of the trailed implement in the trailed agricultural vehicle is the core of the work quality.The connection mode of the tractor and the implement is non-rigid,and the implement can rotate around the hinge joint.In path tracking,this non-rigid structure,leads to the phenomenon of non-overlapping trajectories of the tractor and the implement,reduce the path tracking accuracy.In addition,problems such as large hysteresis and poor anti-interference ability are also very obvious.In order to solve the above problems,a tractor-implement path tracking control method based on variable structure sliding mode control was proposed,taking the tractor front wheel angle as the control variable and the trailed implement as the control target.[Methods]Firstly,the linear deviation model was established.Based on the structural relationship between the tractor and the trailed agricultural implements,the overall kinematics model of the vehicle was established by considering the four degrees of freedom of the vehicle:transverse,longitudinal,heading and articulation angle,ignoring the lateral force of the vehicle and the slip in the forward process.The geometric relationship between the vehicle and the reference path was integrated to establish the linear deviation model of vehicle-road based on the vehicle kinematic model and an approximate linearization method.Then,the control algorithm was designed.The switching function was designed considering three evaluation indexes:lateral deviation,course deviation and hinged angle deviation.The exponential reaching law was used as the reaching mode,the saturation function was used instead of the sign function to reduce the control variable jitter,and the convergence of the control law was verified by combining the Lyapunov function.The system was three-dimensional,in order to improve the dynamic response and steady-state characteristics of the system,the two conjugate dominant poles of the system were assigned within the required range,and the third point was kept away from the two dominant poles to reduce the interference on the system performance.The coefficient matrix of the switching function was solved based on the Ackermann formula,then the calculation formula of the tractor front wheel angle was obtained,and the whole control algorithm was designed.Finally,the path tracking control simulation experiment was carried out.The sliding mode controller was built in the MATLAB/Simulink environment,the controller was composed of the deviation calculation module and the control output calculation module.The tractor-implement model in Carsim software was selected with the front car as a tractor and the rear car as the single-axle implement,and tracking control simulation tests of different reference paths were conducted in the MATLAB/Carsim co-simulation environment.[Results and Discussions]Based on the co-simulation environment,the tracking simulation experiments of three reference paths were carried out.When tracking the double lane change path,the lateral deviation and heading deviation of the agricultural implement converged to 0 m and 0°after 8 s.When the reference heading changed,the lateral deviation and heading deviation were less than 0.1 m and less than 7°.When tracking the circular reference path,the lateral deviation of agricultural machinery tended to be stable after 7 s and was always less than 0.03 m,and the heading deviation of agricultural machinery tended to be stable after 7 s and remained at 0°.The simulation results of the double lane change path and the circular path showed that the controller could maintain good performance when tracking the constant curvature reference path.When tracking the reference path of the S-shaped curve,the tracking performance of the agricultural machinery on the section with constant curvature was the same as the previous two road conditions,and the maximum lateral deviation of the agricultural machinery at the curvature change was less than 0.05 m,the controller still maintained good tracking performance when tracking the variable curvature path.[Conclusions]The sliding mode variable structure controller designed in this study can effectively track the linear and circular reference paths,and still maintain a good tracking effect when tracking the variable curvature paths.Agricultural machinery can be on-line in a short time,which meets the requirements of speediness.In the tracking simulation test,the angle of the tractor front wheel and the articulated angle between the tractor and agricultural implement are kept in a small range,which meets the needs of actual production and reduces the possibility of safety accidents.In summary,the agricultural implement can effectively track the reference path and meet the requirements of precision,rapidity and safety.The model and method proposed in this study provide a reference for the automatic navigation of tractive agricultural implement.In future research,special attention will be paid to the tracking control effect of the control algorithm in the actual field operation and under the condition of large speed changes.
作者 刘智勇 温昌凯 肖跃进 付卫强 王昊 孟志军 LIU Zhiyong;WEN Changkai;XIAO Yuejin;FU Weiqiang;WANG Hao;MENG Zhijun(School of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,China;National Research Center of In‐telligent Equipment for Agriculture,Beijing 100097,China;State Key Laboratory of Intelligent Agricultural Power Equipment,Beijing 100097,China)
出处 《智慧农业(中英文)》 CSCD 2023年第4期58-67,共10页 Smart Agriculture
基金 国家重点研发计划项目(2022YFD200150302) 国家农业重大科技项目(NK202216010303) 北京市博士后工作经费资助项目(2023-ZZ-112)。
关键词 牵引式农机具 运动学模型 滑模变结构控制 路径跟踪 仿真试验 trailed implement kinematic model sliding mode variable structure control path tracking simulation test
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