基于粒子群优化的电渣炉自适应控制方法

电渣重熔是电渣冶金技术的一个重要分支,生产的铸件纯净度高、结构致密、成分均匀、性能优良。电渣重熔过程是一个具有非线性、时变性、时滞等特性的复杂系统,随着电渣重熔技术的发展和重熔钢高品质需求,电渣重熔过程控制的要求越来越高。传统PID控制器在电渣重熔过程中有着广泛的应用,然而由于传统PID控制器的3个参数均固定,所以在不同熔炼阶段和不同生产条件下,控制效果仍待提高。因此,采用基于粒子群优化算法的自适应PID的控制方法来控制熔炼过程,使得PID参数在整个熔炼过程中始终适用于系统当前特性。结果表明所提方法有整体控制效果平稳、对不同阶段适应性好、能够适应生产条件变化的优点。

Adaptive Control Method of the Electroslag Furnace Based on Particle Swarm Optimization

Electroslag remelting is an important branch of electroslag metallurgy technology.The casting of production is of high purity,the structure is of densification,the ingredient is of great balance,and the performance is of excellence.The Electroslag remelting is a complex system with the characteristics of nonlinear,time-varying and time-delay.With the development of electroslag remelting technology and the demand for high-quality remelting steel,the requirement of electroslag remelting process control becomes higher and higher.The traditional PID controller is widely used in the electroslag remelting process.However,due to the three parameters of traditional PID controller are fixed,the control effect is yet to be improved in different melting stages and different production conditions.So,the adaptive PID control method based on particle swarm optimization is adopted to control the melting process,so that the PID parameters are always applicable to the current characteristics of the system in the whole melting process.Therefore,the whole control effect is stable,the adaptability is good at different stages,and it can adapt to the change of production conditions.