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循环模式直接蒸汽发电(direct steam generation,DSG)强度变化的影响很大,并具有大滞后、大惯性、参数时变等特点。针对该控制对象,提出采用多模型切换受限增量广义预测控制策略,建立典型工况下的子模型并设计相应的控制器。按照跟踪实际工况的运行结果,根据模糊推理的隶属度概念评判子模型的匹配程度,选择适配的子模型和控制器整定参数,并采用输入增量加权控制律和等待周期法实现平滑切换和无扰切换。仿真分析表明,提出的控制策略与常规PI控制方法相比,具有响应速度快、无稳态偏差、系统输出波动小、降低了模型失配影响等优点。仿真结果验证了该控制模型和策略的可行性和有效性。
The cyclic steam generation (direct steam generation, DSG) has a great influence on the intensity change, and has the characteristics of large hysteresis, large inertia and time-varying parameters. Aiming at the control object, a multi-model switch limited incremental generalized predictive control strategy is proposed, and a sub-model under typical operating conditions is established and the corresponding controller is designed. According to the result of tracing the actual operating conditions, the degree of matching of the sub-models is judged according to the concept of membership degree of fuzzy reasoning, the adaptive sub-models and controller tuning parameters are selected, and the input smoothing switching is achieved by using incremental incremental weight control law and waiting period method And without interference switch. The simulation results show that the proposed control strategy has the advantages of fast response speed, no steady-state deviation, small system output fluctuation and reduced model mismatch, compared with the conventional PI control method. The simulation results verify the feasibility and effectiveness of the control model and strategy.