In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus ...

The implementation of conventional DTC in Induction Motor drives consisting of PI torque controller suffers from complex tuning and Overshoot problems. One of the various methods to tackle this problem is implementation of intelligent controllers like neuro fuzzy-based controller This paper presents the simulation and analysis of a Neuro fuzzy-based torque controller for DTC of Induction motor ...

The aim of this paper is to design a single input PI fuzzy controller for a nonlinear and time-varying plant – the biogas production rate in the anaerobic digestion of organic waste in waste water treatment. The main contributions are the design of the SI FC, the study of the closed loop control system performance and the estimation of the advantages of the SI FC system in comparison to other s...

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...

Conventional (type-1) fuzzy logic controllers have been commonly used in various power converter applications. Generally, in these controllers, the experience and knowledge of human experts are needed to decide parameters associated with the rule base and membership functions. The rule base and the membership function parameters may often mean different things to different experts. This may cau...

This paper is devoted to the modeling and dSPACE implementation of three-phase squirrel-cage induction motor control using the constant Volts per Hertz principle and rotor flux oriented control (RFOC) strategy. A fuzzy PI controller is used in the speed control loop. Experimental results are compared for two different controls using a dSPACE system with DS1104 controller board based on digital ...

Deriving the analytical structure of fuzzy controllers is very important as it creates a solid foundation for better understanding, insightful analysis, and more e1ective design of fuzzy control systems. We previously developed a technique for deriving the analytical structure of the fuzzy controllers that use Zadeh fuzzy AND operator and the symmetric, identical trapezoidal or triangular input...

This article explores design and analysis of proportional integrator (PI) along with Fuzzy Logic controller (FLC) based Shunt active power line conditioners (APLC) for compensating reactive power and harmonic currents drawn by the load. The aim is to study different control strategies for real time compensating current harmonics at different power conditions. The compensation process is based o...

This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator spe...