面向钢桁梁SPMT移运过程的控制系统及方法
By generating pre-action and correction instructions from full-dimensional perception data, and combining rule base and particle swarm optimization algorithm to optimize control, the problem of coarse control under dynamic disturbances in the transportation of steel truss SPMTs has been solved, improving transportation efficiency and safety.
CN122151478BActive Publication Date: 2026-07-17CCCC SHEC FOURTH ENG
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CCCC SHEC FOURTH ENG
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies fail to respond to dynamic disturbances in real time during the transport of steel truss SPMTs, resulting in rough control operations, reduced transport efficiency, and compromised safety and stability.
Method used
By collecting data through multi-dimensional perception, pre-action and correction instructions are generated. Combined with rule base and particle swarm optimization algorithm, the optimal control instruction set is generated to achieve flexible control and avoid system oscillation.
Benefits of technology
It achieves flexible control under dynamic disturbances, improves transportation efficiency and safety, reduces the risk of system oscillation, and ensures the stability of steel truss transportation.
✦ Generated by Eureka AI based on patent content.
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Figure CN122151478B_ABST
Abstract
本发明公开了面向钢桁梁SPMT移运过程的控制系统及方法，属于自适应控制技术领域，包括：链路采集模块、判定模块、调控模块和优化模块；链路采集模块用于通过构建的全维度感知网络，实时采集移运数据；判定模块用于获取路况扰动参数、风载扰动参数，并判定SPMT移运所处的负载状态；调控模块通过规则库与指令生成器，生成预动作指令、纠偏指令，依据指令叠加权重将预动作指令与纠偏指令进行线性叠加，生成控制指令集；优化模块用于对控制指令集进行平滑处理，以优化指令变化曲线，并将平滑后的控制指令下发至各SPTM，同时接收指令执行后的实际响应数据，对比实际响应与预期响应，以对规则库进行更新；实现了动态扰动下的柔性调控。
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