Multiple Model Smith Predictor Control of Main Steam Temperature based on Gap Metric
Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power
For the large time-delay and the nonlinear of the main temperature plant, a multiple model Smith predictor control strategy is proposed. Based on the gap metric, a set of multiple models is established. At the same time, the working point is selected carefully and reasonably to design the controller in order to ensure the control system stable at other working points. According to the change of boiler load, the switching between multiple models is designed by the recursive bayes formula. Finally, the empirical formula of first-order-inertia-dead-time process is used to tune PID parameters. It can effectively overcome model mismatch and avoid disturbance caused by controller switching through the multiple model Smith predictor control strategy. The simulation results show that the method presented has good load adaptability, which can further improve the control performance of the main steam temperature system.
Ma, Z., & Xu, H. (2020). Multiple Model Smith Predictor Control of Main Steam Temperature based on Gap Metric. Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 35 (9), 148-153. https://doi.org/10.16146/j.cnki.rndlgc.2020.09.021