In view of the challenge in controlling temperature when the boiler experiences load changes in a large scope of ramp rates

this paper presents a practical solution when modular predictive control was applied for tight control.By theoretical analysis and based on the heat exchangers' performance

the multimechanism model for steam temperature was established.Moreover

the particle swarm optimization(PSO)algorithm was adopted to revise the established model.Furthermore

the fuzzy switch function was introduced to make the multi-mechanism model can describe the actual condition more accurately.Thus

the adaptability of the built model can be enhanced and its predictive control function can be improved.