论文部分内容阅读
分析了铝合金连铸的工艺过程,推导了温度传递函数的数学方程式,得到了连铸线性模型。给出了遗传算法的流程图及控制方法,采用遗传算法建立PID控制参数,并对相关参数进行了优化,搜索出温度控制参数的最优解。最后,结合具体实例对温度追踪误差进行仿真,仿真结果显示:采用遗传算法PID控制铝合金铸件表面温度自适应时间大约为3.0s,追踪误差最大值大约为1.6℃,稳定后追踪误差最大值大约为1.0℃;而采用PD和PI控制铝合金铸件表面温度自适应时间大约分别为3.6s和4.2s追踪误差最大值大约分别为2.5℃和2.8℃,稳定后追踪误差最大值大约分别为1.6℃和2.0℃。采用遗传算法PID控制铝合金铸件连铸铸件表面温度理论与实际变化较小,避免了铝合金铸件冷却表面发生断裂现象,改善了产品性能,效果较好。
The technological process of aluminum alloy continuous casting was analyzed, the mathematical equation of temperature transfer function was deduced, and the continuous casting linear model was obtained. The flow chart and control method of genetic algorithm are given. The genetic algorithm is used to establish PID control parameters. The relevant parameters are optimized and the optimal solution of temperature control parameters is found out. Finally, the temperature tracking error is simulated with the concrete examples. The simulation results show that the genetic algorithm PID control aluminum alloy casting surface temperature adaptive time is about 3.0s, the maximum tracking error is about 1.6 ℃, and the maximum tracking error is about Is 1.0 ℃, while the surface temperature adaptation time controlled by PD and PI is about 3.6s and 4.2s, respectively. The maximum tracking error is about 2.5 ℃ and 2.8 ℃, respectively, and the maximum tracking error is about 1.6 ℃ And 2.0 ° C. The genetic algorithm PID control of aluminum alloy casting continuous casting casting surface temperature theory and the actual change is small, to avoid the cooling phenomenon of aluminum alloy casting surface rupture, improve product performance, the effect is better.