关键词: 双启发动态规划, 神经网络, 煅烧工段, 控制器

Abstract: For the multiple variables, disturbances, nonlinearity and other properties of the cement clinker kiln process, it is very difficult to establish an accurate model of the cement kiln system. It is strongly dependent on the experience of workers in the actual production. The error Back-Propagation (BP) neural network was used to establish the firing system model, and a controller was designed for the kiln based on Dual Heuristic Programming (DHP). DHP critic network output the partial derivative of cost function J with the state to obtain the optimal or sub-optimal control signal. The action network output control actions to control the system to achieve desired trajectory. The simulation results show that the controller has faster response time and less overshoot. These features contribute to the stable operation of the real system.

Key words: Dual Heuristic Programming (DHP), neural network, clinker calcination process, controller