In this paper, using the linearized equations of an inverted pendulum, a fuzzy logic controller (FLC) is designed for stabilizing its motion. The complete closedloop control system is observed for its output response employing unit step input. Further, an approach is presented for analyzing the stability nature of fuzzy logic controller. For this, utilizing the output membership values obtained...

The effect of intelligent semi-active thermal exchange-fuzzy controller in structural rehabilitation by attenuating seismic responses of structural systems is investigated. In the suggested control system, MR dampers and sensors are employed as a semi-active controller. Resultant control forces of MR damper are administrated by providing external voltage supply, during the earthquakes and high ...

Congestion control of real-time streaming a video clip or film across the Internet is vital, as network traffic volatility requires constant adjustment of the bit rate in order to reduce packet loss. Traditional solutions to congestion control are prone to delivery rate fluctuations and may respond only when packet loss has already occurred, while both fluctuations and packet loss seriously aff...

In this paper a Fuzzy Logic Controller (FLC) is proposed for slip minimization and efficiency optimization for the induction motor. Two independent fuzzy logic controllers (FLCs) are implemented using ANFIS toolbox in Matlab Simulink environment. The first FLC is used to control the speed by taking the speed and the speed dervative as input to minimize the motor slip. The second FLC is used to ...

Tracking of a square trajectory 12.6 m x 12.6 m by a two-link flexible robot manipulator is performed repetitively for both inverse dynamics control (IDC) and fuzzy logic control (FLC). Repetitive learning inverse dynamics control (RLIDC) achieves no improvement in tracking but repetitive learning fuzzy logic control (RLFLC) achieves greater precision where cyclic tracking enables the fuzzy inf...

This study developed an enhanced adaptive self-organizing fuzzy slidingmode controller (EASFSC) for robotic systems. Rather than using the output error and the error change of the system, the EASFSC uses a sliding surface and its differential as the input variables of a fuzzy logic controller (FLC) in a self-organizing fuzzy controller (SOFC) to generate a control input through fuzzy operation....

This paper addresses the problem of trajectory tracking control in an autonomous, wheeled, mobile robot of unicycle type using Fuzzy Logic. The Fuzzy Logic Control (FLC) is based on a backstepping approach to ensure asymptotic stabilization of the robot’s position and orientation around the desired trajectory, taking into account the kinematics and dynamics of the vehicle. We use the Mamdani in...

The strict safety regulations for nuclear reactor control make it difficult to implement new control techniques such as fuzzy logic control (FLC). FLC however, can provide very desirable advantages over classical control, like robustness, adaptation and the capability to include human experience into the controller. Simple fuzzy logic controllers have been implemented for a few nuclear research...

To conform to strict environmental safety regulations, pH control is used in many industrial applications. For this purpose modern process industries are increasingly relying on intelligent and adaptive control strategies. On one hand intelligent control strategies try to imitate human way of thinking and decision making using artificial intelligence (AI) based techniques such as fuzzy logic wh...

The paper presents fuzzy logic based direct torque control (DTC) scheme of an induction motor (IM) and its comparative study using intelligent techniques under varying dynamic conditions are discussed. Direct torque control (DTC) of an induction motor fed by a voltage source inverter is a modest scheme that does not need lengthy computation time and can be implemented without pulse encoders but...