The progress of industrial applications of fuzzy logic controllers (FLCs) for high performance control of complex, non-linear, time-varying processes, sets demands for their design – to be laid on theoretical grounds, to be general and simple, to bind together system robustness, stability and performance in the design objective as a guarantee for practical feasibility. The aim of this investiga...

The objective of this study is to present the test results of variable air volume (VAV) air conditioning system optimized by two objective genetic algorithm (GA). The objective functions are energy savings and thermal comfort. The optimal set points for fuzzy logic controller (FLC) are the supply air temperature (Ts), the supply duct static pressure (Ps), the chilled water temperature (Tw), and...

This paper explains about the voltage output for DC to DC boost converter between open loop, PID controller and fuzzy logic controller through Matlab Simulink. Simulink input voltage was set at 12V and the voltage reference was set at 24V. The analysis on the deviation of voltage resulted that the difference between reference voltage setting and the output voltage is always lower. Comparison be...

Abstract—this paper describes control of 3-phase shunt active filter by using PI, fuzzy and ANFIS controls to improve the power quality and reactive power compensation and harmonic current compensation due to nonlinear loads. The controller is capable of controlling the DC capacitor voltage capable of reference source current. Hysteresis control is used to control the current in PWM inverter. T...

This paper presents a new converter for switched reluctance motor for controlling the speed using soft computing technique like Fuzzy Logic Controller (FLC). The operating modes of proposed converter circuit are discussed. The proposed converter is capable of minimizing the torque ripple because of its faster excitation and demagnetization nature and also improving the average torque when compa...

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...

Fuzzy controllers are being used in various control schemes. The aim of this study is to adjust the hemodialysis machine parameters by utilizing a fuzzy logic controller (FLC) so that patient's hemodynamic condition remains stable during hemodialysis treatment. For this purpose, a comprehensive mathematical model of the arterial pressure response during hemodialysis, including hemodynamic, osmo...

The carbon dioxide concentration in rooms with varying number of people is an important safety and comfort factor. Its control via ventilation is accompanied by two drawbacks the increased energy consumption and dependence on the quality of the fresh air used. Fuzzy logic can ensure energy efficient control of the carbon dioxide concentration. The aim of the present research is to develop a des...

This paper presents a direct flux and torque control (DTC) of three phase induction motor drive (IMD) using PI and fuzzy logic controllers (FLC) for speed regulator (SR) and low torque ripples. This control method is based on DTC operating principles. The DTC is one of the most excellent direct control strategies of stator flux and torque ripples of IMD. The key issue of the DTC is the strategy...

A new adaptive fuzzy logic controller (FLC) is designed for plants with unknown and/or time-varying dead zones. The steady-state control resolutions with perturbing action, which are different from the ones in the transient states, are used to cancel out the unknown and/or time-varying dead-zone effects. Automatically adjusted control resolutions play a key role as a fuzzy dead-zone inverse. Th...