Design of Fuzzy Logic-Based Controller for Nonlinear Power Systems

Abstract

The power system problem is essentially nonlinear in nature. To implement different control techniques, the nonlinear model has been converted into linear one by using direct feedback linearization (DFL) method. The design of DFL-PID controller through fuzzy logic based on heuristic knowledge has been considered in this paper which reduces the number of input variables for the controller. The fuzzy-based P, PI, PD, and PID controllers have been developed, and a comparative analysis has been carried out.

Appendix

The simulation data in this paper has been taken from Wang et al. paper [12].

$$ \Delta \dot{\delta }\left( t \right) = \omega \left( t \right) $$

(1)

$$ \dot{\omega }\left( t \right) = \frac{ - D}{H}\omega \left( t \right) - \frac{{\omega_{s} }}{H}\Delta P_{e} \left( t \right) $$

(2)

$$ \Delta \dot{P}_{e} \left( t \right) = - \frac{1}{{T_{do}^{{\prime }} }}\Delta P_{e} \left( t \right) + \frac{1}{{T_{do}^{{\prime }} }}v_{f} \left( t \right) $$

(3)