文摘
In this work the relay feedback autotuning is extended to handle process nonlinearity usingmultiple local models. Local models from relay feedback tests are scheduled using the Takagi-Sugeno fuzzy model, and local controllers are designed accordingly. This results in a gradualmodel switching between different operating conditions. The characteristics of the fuzzyimplications are explored, and analytical expressions for the fuzzy model are derived. Theimportance of the selection of the scheduled parameters is emphasized, and the necessity ofmodel scheduling for different loops is also explored. One transfer function example and tworecycle plant examples are used to illustrate the advantage of the simple model schedulingmethod. Performance is evaluated according to the regions of robust performance and/orsimulations. Results show that the proposed approach provides a simple and workable schemefor model scheduling large-scale systems.