Fuzzy Internal Model Control And Its Application In Superheated Steam Temperature Control

Time-delay process is very common in industrial plants and it is difficult to control, especially large time-delay process, which has been a troublesome problem. Many scholars have studied and improved Smith predictor for getting the good control performance of time-delay process. But in fact, most of these efforts try to get a good trade-off between the tracking characteristic and the anti-disturbance characteristic. When the controlled object changes as load changes, the control performance will manifestly deteriorate. For adapting the time-varying circumstance, many self-adaptation techniques are employed to better control performance.So, can we design a control system that it can be widely used when the controlled object varies in a big range and its constant controller parameters can bring good control performance that can meet the operation requirement?Based on this point, penman combines the good approximation capacity of fuzzy system and the merits of internal model control, such as simple design, good regulation capacity, high robustness and elimination of the unknown disturbance etc. to construct the fuzzy internal model control system based on GA, which is characterized by high robustness and quick response speed, furthermore, it can bring good control performance when the controlled objects vary in a big range. At last, it is triumphantly used in simulation of the 1st superheated steam temperature reduction control system. There is theory guidance meaning for the intelligent control technique research of large time-delay process that commonly exists in industrial process and also it can point out development direction for practical control.