一种基于动力学相似性的异构车辆控制映射与自适应方法
By constructing a heterogeneous vehicle control mapping and adaptive method based on dynamic similarity, the problems of dynamic parameter identification distortion and mapping mismatch of heterogeneous vehicles under complex working conditions are solved, and high-precision trajectory tracking and safety improvement are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FUZHOU UNIV
- Filing Date
- 2026-06-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from distorted dynamic parameter identification, mismatched cross-platform mapping, and insufficient adaptive feedback control in cross-platform collaborative operations of heterogeneous vehicles, making it difficult to guarantee trajectory tracking accuracy and safety, especially under complex working conditions.
A control mapping method based on dynamic similarity is adopted. By constructing a dynamic model that integrates nonlinear dynamic model and reinforcement learning, a bidirectional equivalent mapping function is established. An adaptive feedback control method is designed to realize online parameter correction and error compensation, thereby overcoming the distortion of dynamic parameter identification and mapping mismatch of heterogeneous vehicles under complex working conditions.
It improves the trajectory tracking accuracy and robustness of heterogeneous vehicles under complex working conditions, ensures system stability and safety, eliminates vibration of actuators, and extends mechanical life.
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Figure CN122411072A_ABST
Abstract
Citation Information
Patent Citations
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CN114516251B
CN118672197A