无模型自适应控制在大型12Cr2Mo1V钢热处理中的应用

Application of model-free adaptive control in heat treatment of large 12Cr2Mo1 V steel

针对大口径厚壁12Cr2Mo1V钢的加热及焊后热处理,采用中频感应加热并选择无模型自适应控制(MFAC)算法代替传统的PID算法对其加热温度进行控制。首先分析工件的物理参数,计算出加热频率、线圈电流、电源配置等参数,再通过COMSOL软件将得到的各项参数带入,对现场条件进行磁-热耦合的仿真分析,验证计算数据的可行性;之后在SIMULINK仿真平台上搭建MFAC模型并与传统PID模型作比较,并将两种算法实际应用到现场观测加热效果。结果表明,将大型工件加热到目标温度700℃,采用MFAC算法加热的温度波动更小,稳定性更高,均匀性更好。

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 C,the temperature fluctuation is smaller,the stability is higher,and the uniformity is better.