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。
Outlet steam temperature for direct steam generation(DSG) in parabolic troughs solar power system under recirculation operation mode is characterized by large time delay,strong inertia and parameter time-variation,which is affected greatly by the changes in solar radiation.In the light of characteristics of the control object mentioned above,a new multi-model switching constrained incremental generalized predictive control(MSCIGPC) strategy was proposed to build submodels under typical conditions and design corresponding controllers.According to the operation result following the actual condition,the right submodel and controller were chosen by the concept of membership grade in fuzzy reasoning.Moreover,input increment weighted control law(IIWCL) and waiting period method were adopted to achieve smooth switching and bumpless switching respectively.Simulation analysis indicate that there are advantages such as quick response,no steady-state deviation,minimum system output pulsation and small influence of model mismatch compared with the traditional PI control strategy.Simulation results prove the feasibility and effectivity of the control model and strategy.