A Fuzzy Controller for Stabilization of Asynchronous Machine

Period-doubling bifurcation analysis and chaos control for load torque using FLC

“…Fuzzy logic controller (FLC) clarifies the experience and the knowledge of a human operator in linguistic variables (fuzzy rules) without any knowledge of parameter variations and dynamics of the system. Implementation of FLC depends upon the process done by human factors without the need for a mathematical model [41][42][43][44][45][46]. The fuzzy system consists of two inputs: the error and the change of error, and one output is the change of control output.…”

“…Consequently, studying chaos behavior and suppressing it has been the major target of researchers for practical nonlinear systems. Consequently, there are numerous methods to control chaotic systems, such as the (Ott, Grebogi and Yorke) OGY method [31], feed-back linearization method [32][33][34], a realtime cycle to cycle variable slope compensation method [35], time-delay feedback control [36], developing Floquet theory [26,30,[37][38][39], fuzzy control [41,43,45,46].…”

“…Besides, it improves performance and provides superior outcomes than other techniques. Hence, FLC gives better results with position control and DC/DC converters [42] and [44], stabilizes the induction motor [45], removes chaos in converters [41], and controls complicated, undefined chaotic systems Parameters [43,46].…”

Application of Solar Energies to Reinforce the Flow Water of Foggara in the Adrar Region

“…The networks can set up facilities like the Themis tower, it could reach 30% of solar energy converted into electricity thanks to gas and steam turbines. The energy is captured at the top of a tower at 1650 meters above sea level with mirrors and heliostats (adjustable mirrors) [16] like it show in the figure 4. In the coming years, the relatively limited needs of populations in southern Algeria, because of their low density, will be met.…”