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A Method of Measurement and Control about Automatically Tracing Intelligent Vehicle Based on Infrared Photoelectric Sensor

机译:基于红外光电传感器的自动跟踪智能车辆测控方法

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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.
机译:该设计是自动跟踪智能车辆控制系统。在设计中,简化了动力学模型的外部轨迹分析作为内置模型,为了确保在不确定性函数的模型扰动或随机干扰,以保持其令人满意的质量,缩短智能车辆通过非线性控制器的控制响应时间通过调节转向方向和速度。使用可变度量非线性智能控制程序来解决高速智能汽车的增量算法,当您容易出现振荡或慢速曲线显示问题,以便对小偏差不敏感,最终模型汽车的规定路径,自我识别线,快速移动。实验表明,该系统可以很好地定位在路径上满足智能车,以确定性能和抗干扰能力的要求,速度调整快速响应时间,稳态误差小,它也具有良好的动态性能和良好的鲁棒性。

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