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大型发电生产过程被控对象动态特性大多具有大惯性,大时滞和非线性特点,获取其对象模型确实不易。但是模型精度不要求太高时,想要得到某个工作点的对象模型是完全可以实现的。提出一种基于负荷自适应的模型驱动循环流化床锅炉床温控制系统。该系统设计的前提条件是已获得了几种典型工况下的床温模型。首先,将床温模型经过微分反馈补偿后得到其等效床温模型,表示为带有纯滞后的一阶环节,这样十分方便求得模型驱动控制器参数。当运行到非典型工况时,可依据负荷大小自动优化控制系统参数。研究结果表明,该系统在整个负荷变化范围内,床温控制性能均表现优良。同时,该系统结构简单,实时性好,方便采用DCS系统组态构建,易于推广应用。
The dynamic characteristics of controlled objects in large-scale power generation process mostly have the characteristics of large inertia, large time delay and non-linearity. It is indeed not easy to obtain their object model. However, when the accuracy of the model is not too high, an object model that wants to obtain a certain working point is completely achievable. A model driven CFB boiler bed temperature control system based on load adaptation was proposed. The precondition for this system design is that bed temperature models have been obtained for several typical operating conditions. First, the bed temperature model is compensated by differential feedback to obtain its equivalent bed temperature model, expressed as a first-order link with a pure hysteresis, which is very convenient to obtain model-driven controller parameters. When operating to atypical working conditions, the control system parameters can be automatically optimized according to the load size. The results show that the system has excellent performance of bed temperature control over the entire load range. At the same time, the system structure is simple, real-time, easy to use DCS system configuration to build, easy to promote the application.