Application of model-free adaptive control in heat treatment of large 12Cr2Mo1V steel

doi:10.13251/j.issn.0254-6051.2024.09.049

Abstract

Abstract: For the heating and post-welding heat treatment of large-diameter thick-walled 12Cr2Mo1V steel, the medium-frequency induction heating method was adopted and the model-free adaptive control (MFAC) algorithm replacing the traditional PID algorithm was selected for temperature control. Firstly, the physical parameters of the workpiece were analyzed, and parameters such as heating frequency, coil current, and power configuration were calculated. Then, the obtained parameters were input into COMSOL software to simulate on-site conditions and perform magnetic-thermal coupled simulation analysis, validating the feasibility of the calculated data. Next, the MFAC architecture was constructed in the SIMULINK simulation platform and compared to the traditional PID method, and the two algorithms were actually applied to observe the heating effect in the field. The results show that when large workpieces are heated to the target temperature of 700 ℃, the temperature fluctuation is smaller, the stability is higher, and the uniformity is better.

Key words: medium frequency induction heating, 12Cr2Mo1V steel, COMSOL finite element simulation, model-free adaptive control algorithm

CLC Number:

TG161

Gao Xinbo, Qin Qingliang. Application of model-free adaptive control in heat treatment of large 12Cr2Mo1V steel[J]. Heat Treatment of Metals, 2024, 49(9): 290-296.

References

[1]蒙骞, 史伟, 俄馨, 等. 回火温度对12Cr2Mo1钢锻件力学性能的影响[J]. 机械研究与应用, 2020, 33(3): 235-237.
Meng Qian, Shi Wei, E Xin, et al. Effect of tempering temperature on mechanical properties of the 12Cr2Mo1 steel forgings[J]. Mechanical Research and Application, 2020, 33(3): 235-237.
[2]石明祥. 感应加热电源技术原理及应用[J]. 装备制造技术, 2021(1): 177-180.
Shi Mingxiang. Principle and application of induction heating power supply technology[J]. Equipment Manufacturing Technology, 2021(1): 177-180.
[3]Lucia O, Maussion P, Dede E J, et al. Induction heating technology and its applications: Past developments, current technology, and future challenges[J]. IEEE Transactions on Industrial Electronics, 2013, 61(5): 2509-2520.
[4]孙国辉, 王晓辉. 电磁感应加热在核电蒸汽发生器管板堆焊预热和后热中的应用管道技术与设备[J]. 电焊机, 2014, 44(3): 31-34.
Sun Guohui, Wang Xiaohui. Application of electromagnetic induction heating for generator tube sheet cladding of the nuclear power steam[J]. Electric Welding Machine, 2014, 44(3): 31-34.
[5]姚文龙, 亓冠华, 池荣虎, 等. 具有未知负载扰动的水井钻机电液伺服系统无模型自适应控制[J]. 控制理论与应用, 2022, 39(2): 231-240.
Yao Wenlong, Qi Guanhua, Chi Ronghu, et al. Model-free adaptive control for water well drilling rig electro-hydraulic servo with unknown load disturbance[J]. Control Theory and Applications, 2022, 39(2): 231-240.
[6]Hou Z, Jin S. Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems[J]. IEEE Transactions on Neural Networks, 2011, 22(12): 2173-2188.
[7]Gao B, Cao R, Hou Z, et al. Model-free adaptive MIMO control algorithm application in polishing robot[C]//Data Driven Control and Learning Systems. IEEE, 2017: 135-140.
[8]Li Ziang, Ding Zhengtao, Wang Meihong, et al. Model-free adaptive control for MEA-based post-combustion carbon capture processes[J]. Fuel, 2018, 224: 637-643.
[9]Gu X, Xian B, Li J. Model free adaptive control design for a tilt trirotor unmanned aerial vehicle with quaternion feedback: Theory and implementation[J]. International Journal of Adaptive Control and Signal Processing, 2022, 36(1): 122-137.
[10]鲁迪. 无模型自适应控制方法在图像识别中的应用[D]. 北京: 北京交通大学, 2019.
Lu Di. Application of model-free adaptive control method in image recognition[D]. Beijing: Beijing Jiaotong University, 2019.
[11]郝耕. 12Cr2Mo1R钢国产焊材焊接工艺研究[D]. 兰州: 兰州交通大学, 2017.
Hao Geng. The study on domestic welding materials welding technology for 12Cr2Mo1R steel[D]. Lanzhou: Lanzhou Jiaotong University, 2017.
[12]张晓广. 12Cr2Mo1R/12Cr2Mo1VR临氢钢热处理工艺及组织性能研究[D]. 沈阳: 东北大学, 2018.
Zhang Xiaoguang. Study on heat treatment process and microstructure properties of 12Cr2Mo1R/12Cr2Mo1VR hydrogen resistant steel[D]. Shenyang: Northeastern University, 2018.
[13]马建平, 段红文, 张丽芳. 电源频率和功率在透热感应加热中的选择[J]. 金属热处理, 2004, 29(11): 71-74.
Ma Jianping, Duan Hongwen, Zhang Lifang. Frequency and power selection for power supply in penetration induction heating[J]. Heat Treatment of Metals, 2004, 29(11): 71-74.
[14]陈雪. 无模型自适应控制方法的改进设计与仿真[D]. 长春: 吉林大学, 2009.
Chen Xue. The improved design and simulation of model-free adaptive control method[D]. Changchun: Jilin University, 2009.

[1]	Liu Yu, Gao Yuhao, Liu Xiaoyong, Luo Xianfu, Wang Jia, Sun Xulu, Wu Zepeng. Effect of tempering treatment on properties and intergranular corrosion sensitivity of 05Cr17Ni4Cu4Nb steel [J]. Heat Treatment of Metals, 2024, 49(9): 144-151.
[2]	Ma Luyi, Dong Zhi, Yang Lixin, Li Shijian, Cui Jing, Kang Chong. Effect of quenching transfer time on microstructure and properties of tempered 16CrSiNi steel [J]. Heat Treatment of Metals, 2024, 49(9): 198-203.
[3]	Cao Zhongyu, Jia Huapo, Zhao Baowei. Effect of intercritical annealing temperature on microstructure and mechanical properties of 0.2C-8Mn-2Al steel for auto [J]. Heat Treatment of Metals, 2024, 49(9): 247-250.
[4]	Guo Haodong, Yang Chaofei, Sun Lei, Zhang Yuxiang, Huang Dong, Tong Zhiyuan. Bauschinger effect and recovery heat treatment of 10CrNi8MoV steel [J]. Heat Treatment of Metals, 2024, 49(8): 119-123.
[5]	Liu Zifeng, Zhao Xuliang, Luo Hao. Effect of quenching temperature on microstructure and hardness of 4Cr4Mo3W2V1 die steel [J]. Heat Treatment of Metals, 2024, 49(8): 170-173.
[6]	Zhang Wen, Guo Yutong, Zhang Lingcong, Shen Rui, Shi Hui, Bao Hanwei, Li Gangyan. Computational method for unsteady heat transfer on surface of 45 steel during laser quenching [J]. Heat Treatment of Metals, 2024, 49(8): 232-241.
[7]	Tu Yujie, Li Bingchen, Chen Hao, Wu Xiaochun. Numerical simulation of vacuum isothermal quenching process of H11 steel large module for die-casting dies [J]. Heat Treatment of Metals, 2024, 49(7): 1-8.
[8]	Chen Yanzi, Liu Xinyu, Su Hang, Xie Benchang, Cen Yaodong, Chen Lin. Optimization of heat treatment process of bainitic rails based on simulation software [J]. Heat Treatment of Metals, 2024, 49(7): 38-41.
[9]	Ma Luyi, Du Qingyin, Li Shijian, Yang Lixin, Liu Gang, Wang Xinyu. Simulation and calculation of heat treatment parameters and thermophysical properties of 16CrSiNi steel using JMatPro software [J]. Heat Treatment of Metals, 2024, 49(7): 42-46.
[10]	Feng Xingwang, Zhang Ke, Liu Jiujiang, Shi Ruxing, Su Wenbo, Liu Shuai, Li Zhipeng, Yang Bin. Numerical simulation and experimental verification of heat treatment after forging of SA508-3 steel for steam generator [J]. Heat Treatment of Metals, 2024, 49(5): 55-61.
[11]	Shi Lei, Tian Pengyong, Shi Ying, Bai Xue, Yang Fang. Effect of intercritical annealing on microstructure and properties of ferrite/bainite dual-phase steel [J]. Heat Treatment of Metals, 2024, 49(5): 158-161.
[12]	Wu Wei, Chen Jiaying, Guo Rui, Wang Ru, Yuan Youyou, Qiu Quanqiang, Cheng Xiangxiang, Ju Jia. Aging process of high-strength Al-Mg-Si-(Ag/Cu) alloy for automobile body sheet [J]. Heat Treatment of Metals, 2024, 49(5): 179-185.
[13]	Wang Lipeng, Ge Junchao, Dai Kunhong. Effect of heat treatment on microstructure and mechanical properties of low carbon high copper HSLA steel [J]. Heat Treatment of Metals, 2024, 49(5): 199-203.
[14]	Lin Chunxu. Laser surface quenching and nitriding composite treatment of H13 steel wear-resistant guide rail for TDO [J]. Heat Treatment of Metals, 2024, 49(4): 274-278.
[15]	Zhang Xin, Meng Zhengbing, Zhou Ying, Chen Yuanyu, Li Yuxiang. Effect of rare earth nitriding on QPQ salt bath composite treatment performance of 9Cr18Mo steel [J]. Heat Treatment of Metals, 2024, 49(3): 63-67.