Multi objective optimization based on Pareto optimum in secondary cooling and EMS of Continuous casting
The process of Continuous casting cooling is a nonlinear, strong coupling, multi input multi output (MIMO) system, in existing control system of continuous casting of secondary cooling control and the final electromagnetic stirring(F EMS) control are two independent control system. The optimization of control parameter often use two independent model, without considering the coupling effect between them, led to the slab quality fluctuation with changes on process parameter or steel. In order to solve the parameter optimization problem of the secondary cooling and electromagnetic stirring, the particle swarm with Pareto frontier multi objective coordinated optimization algorithm is employed, combined with the most concerned requirements in temperature field, liquid core, which includes the temperature of raising and dropping in each cooling zone, and the liquid core radius satisfied the best electromagnetic stirring condition as the objective functions. Adopt adaptive grid system to evaluate the diversity of population, and to improve the consistency of the optimal solution set, using multidimensional vector weighting to process weights parameters of candidate solution set to obtain the final Pareto optimal solutions, finally, applied the optimization algorithm to continuous casting process, and verify the effectiveness and feasibility.
2016 International Conference on Advanced Robotics and Mechatronics (ICARM)