针对火电厂超临界机组多变量锅炉-汽机协调系统在大工况范围内运行具有强非线性的特点，提出了一种基于模糊增益调度的预测控制方法。通过现场试验获取多个工况点处的协调系统传递函数模型，结合增益调度和模糊逻辑推理方法建立全局自适应模糊模型，利用预测控制技术确保控制系统全局优化品质。基于模糊增益调度的预测控制方法设计火电厂超临界机组协调控制系统，并在大工况范围内进行变负荷仿真试验。结果表明：相较于常规预测控制算法和PID控制方法，基于模糊增益调度的预测控制方法能够在大工况范围内快速跟踪负荷变化，且协调控制系统各输出被调量跟随设定值变化的速度更快，动态偏差更小，控制执行机构动作较快，控制作用变化相对平稳，稳定性好。

A predictive control method based on fuzzy gain scheduling is proposed for the multivariable boilerturbine coordination system of supercritical units in thermal power plants, which has strong nonlinearity characteristics in a wide range of operating conditions. The transfer function models of the coordinated system at multiple operating points are obtained through field test. The global adaptive fuzzy model is established by combining with gain scheduling and fuzzy logic reasoning method. The predictive control technology is used to ensure the global optimization quality of the control system. Based on fuzzy gain scheduling model predictive control method, the coordinated control system of supercritical units in thermal power plants is designed, and the variable load simulation test is carried out in a wide range of working conditions. The results show that compared with the conventional predictive control algorithm and PID control method, the predictive control method based on fuzzy gain scheduling can quickly track load changes in a wide range of working conditions, each output regulated variable of the coordinated control system varies with the set value faster, the dynamic deviation is smaller, the control actuator moves faster, the control action changes relatively smoothly, and the stability is good.

TK221