基于多维约束非线性模型预测控制的增材制造控制方法

By employing a multidimensional constrained nonlinear model predictive control method, the problems of heat accumulation and thermal degradation in soft material additive manufacturing were solved. This method enabled coordinated control of heating power and printing speed, ensuring the molding quality and hardware safety of soft materials and improving the steady-state control accuracy of the system.

CN122401908APending Publication Date: 2026-07-17ZHEJIANG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG UNIV
Filing Date
2026-06-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing additive manufacturing of soft materials suffers from problems such as heat accumulation and irreversible thermal degradation caused by single-variable control, neglect of the coupling effect between mechanical motion parameters and thermodynamics, and mismatch of linear models under high-temperature conditions, leading to material scorching, carbonization, and thermal stress warping.

Method used

A multidimensional constrained nonlinear model predictive control method is adopted. By constructing a nonlinear differential predictive model that couples heating power and printing speed, a higher-order thermal radiation term is introduced, and a multi-objective cost function and dynamic physical boundary constraints are set to achieve dynamic coordinated control of heating power and printing speed.

Benefits of technology

It effectively suppressed thermal overshoot, ensured the molding quality of soft materials, improved the steady-state control accuracy of the system and the operational safety of the hardware, and achieved an efficient printing process.

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Abstract

本发明公开了基于多维约束非线性模型预测控制的增材制造控制方法,首先,设定目标工艺参数并获取实际温度,计算失配误差以引入闭环反馈;其次,构建耦合加热功率与打印速度的非线性差分预测模型,并引入高阶热辐射散热项;随后,构建多目标代价函数,并强制施加硬件额定功率与运动极限的物理约束;最后,调用数值求解器进行在线滚动优化,将最优指令下发至底层执行。本发明打破了单变量控制局限,从根本上抑制了热超调,保障了软材料的成型质量。
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