Data-driven-based superheated steam temperature control of fossil fuel power generation units

摘要

In modern industry, data has become an indispensible resource for the whole process of production and business. For the optimization of the control performance, the data-driven PID controller is introduced in this paper. Based on the data-driven control law, the parameters of the PID controller will be renewed automatically by using the real and historical input/output data of the plant. And then, the control action can be update in real time. From the perspective of engineering applications, the data-driven PID controller is researched as the outer loop controller in the superheated steam temperature cascade control system of fossil fuel power generation units. The simulation results show that the data-driven PID controller is suitable for the superheated steam temperature control, and its performance is better than that of the neural network PID controller.