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基于模糊PID算法的三轮智能车应用

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针对实际的三轮智能车运动过程以及停止时的稳定性问题提出一种解决方案.将模糊控制理论与传统PID控制方法相结合,同时利用陀螺仪和编码器得到的定位信息,达到对三轮智能车快速稳定高效地运动控制.通过硬件电路地设计制板焊接和机械结构地制图加工装配,得到三轮智能小车硬件结构;结合对STM32控制芯片的嵌入式程序编写,得到三轮智能车的控制核心.通过计算机仿真和实际三轮智能车运动实验数据的分析,验证该算法的实用性以及准确性,速度控制精度达到1cm/s,定位精度达到5cm.
Application of Three wheeled Intelligent Vehicle Based on Fuzzy PID Algorithm
A solution is proposed for the stability issues during the actual motion process and stopping of a three wheeled intelligent vehicle.Combining fuzzy control theory with tradition-al PID control methods,and utilizing the positioning information obtained from gyroscopes and encoders,to achieve fast,stable,and efficient motion control of three wheeled intelligent vehi-cles.By designing board welding through hardware circuits and drawing,processing,and as-sembling mechanical structures,the hardware structure of a three wheeled intelligent car is ob-tained;By combining the embedded programming of the STM32 control chip,the control core of the three wheeled intelligent vehicle is obtained.Through computer simulation and analysis of actual three wheel intelligent vehicle motion experimental data,the practicality and accuracy of the algorithm are verified.The speed control accuracy reaches 1cm/s,and the positioning ac-curacy reaches 5 cm.

Three wheeled intelligent vehicleFuzzy controlPID controlLocation informa-tionSTM32Embedded programming

漆小华

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中国电子科技集团公司第二十九研究所,四川 成都 610000

三轮智能车 模糊控制 PID控制 定位信息 STM32 嵌入式编程

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(2)
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