quad rotor is a renowned underactuated unmanned aerial vehicle (uav) with widespread military and civilian applications. despite its simple structure, the vehicle suffers from inherent instability. therefore, control designers always face formidable challenge in stabilization and control goal. in this paper fuzzy membership functions of the quad rotor’s fuzzy controllers are optimized using nat...

In this paper, we are interested in the control of rotor current doubly feed induction generator (DFIG), that is used wind turbines. context, present a comparative study between two types controllers. The first based on classic PI proportional-integral control, while second SMC sliding control. command chain uses fuzzy estimator power, which makes it possible to determine reference speed DFIG. ...

the paper is devoted to solution of some problems in nuclear power station generating unit intellectual control systems using genetic algorithms on the basis of control system model development, optimizations methods of their direct quality indices and improved integral quadratic estimates. some mathematical vector models were obtained for control system multicriterion quality indices with due ...

This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control in direct torque control induction motor drive. Genetic algorithms are used to tune the PI controller gains to ensure optimal performance. The performance of the two controllers are investigated and compared for differen...

The highly nonlinear characteristics of drying processes have prompted researchers to seek new nonlinear control solutions. However, the relation between the implementation complexity, on-line processing complexity, reliability control structure and controller’s performance is not well established. The present paper proposes high performance nonlinear fuzzy controllers for a real-time operation...

In this paper an Interval Type2 Fuzzy Logic (IT2FL) controller is proposed for the control of DC-DC converters to attain a good output voltage regulation and dynamic response. The buck and boost type DC-DC converters are considered for the implementation of the IT2FL controller. To study the effects on the system performance, the conventional PI and type-1 fuzzy controller are designed and comp...

The limitations of conventional model-based control mechanisms for flexible manipulator systems have stimulated the development of intelligent control mechanisms incorporating fuzzy logic and neural networks. Problems have been encountered in applying the traditional PD-, PI-, and PID-type fuzzy controllers to flexible-link manipulators. A PD-PI-type fuzzy controller has been developed where th...

In this paper, a D-Q model of fuzzy based unified power flow controller (UPFC) has been proposed to control the active and reactive power flow through the transmission lines. Power loss reduction also intends with the proposed UPFC controller. The UPFC’s shunt and series controllers are developed based on D-Q fuzzy logic (FL) controller, which has been designed in PSCAD environment as an indepe...