Abstract
Conventional PID controllers have been a practical solution when controlling linear processes but its response is degraded considerably in strongly nonlinear processes. Fuzzy control presents an improvement in the response because its nonlinear nature. However, there is no absolute tuning methodology, with solutions ranging from trial and error to sophisticated computational methods. In this paper, we present a simple but effective systematic approach for the tuning of several direct fuzzy PID controllers, based on the calculation of static gains of linear sub-models and controller scaling factors. The proposed methodology was successfully tested in a nonlinear process model and a CSTR model.
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