一种新型无人驾驶农用拖拉机控制方法:复合反步滑模路径跟踪

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Xin Ji, Xinhua Wei, Anzhe Wang
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引用次数: 0

摘要

针对无人驾驶农用拖拉机路径跟踪控制中存在的欠驱动、输入饱和、时变干扰以及模型依赖问题,研究了一种复合反步滑模控制器。具体来说,介绍了路径跟踪误差模型。采用具有时变参数的扩展状态观测器(ESO)来处理由外部扰动和模型非线性引起的块扰动。提出了一种基于反步自抗扰控制和滑模控制的复合路径跟踪控制器,并通过仿真和实验验证了其有效性。结果表明,该控制器在减小横向偏移量方面优于模糊纯追迹控制,其稳定性在附录中得到了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Control Method for Unmanned Agricultural Tractors: Composite Back-stepping Sliding Mode Path Tracking
A composite back-stepping sliding mode controller is explored in the paper to address the under-actuated, input saturated, and time-varying disturbances, as well as model-dependent issues that bother the path tracking control of unmanned agricultural tractors. Specifically, the path tracking error model is introduced. The extended state observers (ESO) with time-varying parameters are employed to handle the lump disturbances resulting from the external disturbances and model nonlinearity. A novel composite path tracking controller is proposed based on back-stepping and active disturbance rejection control and sliding mode control, whose effectiveness is elaborated by simulations and experiments. According to the results, the proposed controller, whose stability is elucidated in the appendix, outperforms the fuzzy pure pursuit control in reducing the lateral offset.
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来源期刊
Information Technology and Control
Information Technology and Control 工程技术-计算机:人工智能
CiteScore
2.70
自引率
9.10%
发文量
36
审稿时长
12 months
期刊介绍: Periodical journal covers a wide field of computer science and control systems related problems including: -Software and hardware engineering; -Management systems engineering; -Information systems and databases; -Embedded systems; -Physical systems modelling and application; -Computer networks and cloud computing; -Data visualization; -Human-computer interface; -Computer graphics, visual analytics, and multimedia systems.
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