基于红外光电传感器的智能汽车自动跟踪测控方法

Liu Xian, W. Ling, Sun Bo
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引用次数: 3

摘要

本设计是自动跟踪智能车辆控制系统。在设计中,将动力学模型的外部轨迹分析简化为内置模型,为了保证模型在不确定性作用时受到扰动或随机干扰,保持其令人满意的质量,通过非线性控制器对转向方向和速度进行调节,缩短智能汽车的控制响应时间。采用变度量增量算法的非线性智能控制程序,解决智能汽车高速直行时容易出现振荡或慢速曲线显示的问题,使之对小偏差不敏感,最终规定模型汽车在路径上,自识别线路,快速行驶。实验表明,该系统能很好地满足智能汽车对路径定位性能和抗干扰能力的要求,调速响应时间快,稳态误差小,同时具有良好的动态性能和良好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Measurement and Control about Automatically Tracing Intelligent Vehicle Based on Infrared Photoelectric Sensor
The design is automatic tracing intelligent vehicle control system. In the design, simplifies external locus analysis of the kinetic model as a built-in model, In order to ensure the model perturbation or random interference when uncertainty functions to maintain its satisfactory quality, shorten the control response time of intelligent vehicle through the nonlinear controller by regulation of steering direction and speed. Incremental algorithm using variable metric nonlinear intelligent control programs to address high-speed smart car to go straight when you go prone to oscillation or slow curve showing the problem so that is not sensitive to small deviations, and ultimately the provisions of the model car in the path, self-identification line, fast-moving. Experiments show that the system can be well positioned to meet smart cars on the path to identify the requirements of performance and anti-jamming ability, speed adjustment quick response time, steady-state error is small, it also has good dynamic performance and good robustness.
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