A New Method’s Application Study on the Main Steam Temperature System

When the temperature of main steam is taken as the plant of control, it will be a typical control plant of large dead-time and parameter-varying process. In this paper a new single-neuron PSD self-adaptive algorithm that based on Smith predictor was proposed, i.e., a compound controller was combined with Smith predictor and single-neuron PSD self-adaptive controller. Compared with conventional PID controller, the variety of main steam temperature can be maintains in a very small range and manipulated variable changes smoothly under large-scale variety of load. The results of simulation show that the system has favorable dynamic properties and good adaptability. Therefore, the scheme has hopeful application prospect.