Active and Reactive Power Control for DFIG Using PI, Fuzzy Logic and Self-Tuning PI Fuzzy Controllers

Fuzzy-PID Controllers vs. Fuzzy-PI Controllers

The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, Fuzzy Control has made possible the establishment of int...

Self-Tuning Fuzzy PI Controller (STFPIC)

Comparative Analysis between Conventional PI and Fuzzy Logic PI Controllers for Indoor Benzene Concentrations

Exposure to hazardous concentrations of volatile organic compounds indoors in small workshops could affect the health of workers, resulting in respirative diseases, severe intoxication or even cancer. Controlling the concentration of volatile organic compounds is required to prevent harmful conditions for workers in indoor environments. In this document, PI and fuzzy PI controllers were used to...

A robust self-tuning scheme for PI- and PD-type fuzzy controllers

We propose a simple but robust model independent self-tuning scheme for fuzzy logic controllers (FLC’s ). Here, the output scaling factor (SF) is adjusted on-line by fuzzy rules according to the current trend of the controlled process. The rulebase for tuning the output SF is defined on error (e) and change of error ( e) of the controlled variable using the most natural and unbiased membership ...

Tuning Fuzzy-Logic Controllers

The classical proportional-derivative (PD) control is relatively easy to design, but useful for fast response controllers by combining proportional control and derivative control in parallel. However, as PD control is linear, it is not able to be used to deal with non-linear plants. An answer to this problem is fuzzy-logic control, which is also a model-free control scheme and can be applied to...