一种基于改进模糊PID控制的AGV旋转平台控制方法

By improving the control parameters of the AGV rotating platform using fuzzy PID control and the honey badger optimization algorithm, the problem of poor angular velocity tracking between the AGV rotating platform and the chassis was solved, achieving high-precision rotating platform control and meeting the needs of efficient material handling in confined environments.

CN120871578BActive Publication Date: 2026-07-17JIANGNAN UNIV
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Patent Information

Application Number
CN202511142253.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-15
Publication Date
2026-07-17
Estimated Expiration
2045-08-15

AI Technical Summary

Technical Problem

The AGV rotating platform does not track the chassis angular velocity well in narrow passages, resulting in significant angular errors. Existing control methods cannot meet the high-precision requirements.

Method used

An improved fuzzy PID control method is adopted, which combines an improved honey badger optimization algorithm to optimize the proportional factor and quantization factor in the fuzzy PID control. By obtaining the error and its rate of change, fuzzification and defuzzification are performed to correct the PID controller parameters and achieve precise control of the AGV rotating platform.

Benefits of technology

It achieves stable and rapid tracking of the angular velocity between the AGV rotating platform and the chassis, meeting the needs of efficient handling in confined environments, ensuring that the rotating platform maintains its absolute position during handling, and improving control accuracy and response speed.

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Abstract

本发明涉及一种基于改进模糊PID控制的AGV旋转平台控制方法,包括:步骤S1:获取AGV旋转平台目标角速度和实际角速度的误差,及其误差变化率,将误差及其误差变化率经过模糊化后得到模糊量和;步骤S2:将模糊量和作为模糊控制的输入,则经过模糊控制得到输出变量、、;步骤S3:对输出变量、、进行去模糊化得到PID控制器参数的修正量、、;步骤S4:通过修正量、、修正PID控制器中原有的比例、积分、微分参数,通过修正后的PID控制器实现对AGV旋转平台的控制。本发明改进的模糊PID通过改进的蜜獾优化算法对模糊化和去模糊化的参数进行优化,通过优化后的参数实现对AGV旋转平台的有效控制。
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Citation Information

Patent Citations

  • AGV control method and system based on improved fuzzy PID control algorithm

    CN111781818A

  • PID control method for AGV wheel type driving system

    CN119556552A