This article explores a novel fuzzy logic controller (FLC) based threephase shunt active power line conditioners (APLC) for power quality improvements due to the non-linear loads. The fuzzy logic controller is Mamdani-type and linguistic description, so it does not necessitate a mathematical model of the system. The FLC controller is capable of controlling harmonic current and dc-side capacitor...

Vehicle classification is an important parameter in Road Traffic Management System. The paper includes vehicle classification using signals from different sensors, process and mix those signals, to extract features helpful to identify vehicle class and also its speed. The important features needed are axle distance, length of vehicle, height of chassis and occupancy time. These features are the...

This paper proposes a fuzzy logic based new control scheme for the Unified Power Quality Conditioner (UPQC) for minimizing the voltage sag and total harmonic distortion in the distribution system consequently to improve the power quality. UPQC is a recent power electronic module which guarantees better power quality mitigation as it has both series-active and shunt-active power filters (APFs). ...

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

This paper designs a fuzzy logic controller to suppress the vibrations of a large space antenna-like ground experimental structure located at the JPL/AFPL Large Spacecraft Control Laboratory. This fuzzy logic controller provides a simple, yet robust, means to the vibration control of a highly uncertain structural system.

In this paper we have designed a DC motor whose speed can be controlled using PID controller. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to FUZZY LOGIC. First, the fuzzy logic controller is designed according to fuzzy rules so that the systems are fundamentally robust. There are 25 fuzzy rules for self-tuning of each parameter of PID ...

This article presents a new method for learning and tuning a fuzzy logic controller automatically. A reinforcement learning and a genetic algorithm are used in conjunction with a multilayer neural network model of a fuzzy logic controller, which can automatically generate the fuzzy control rules and refine the membership functions at the same time to optimize the final system’s performance. In ...

Combustion control of an industrial stoker-"red boiler is to provide a continuous supply of steam at the desired condition of pressure. Because no e$cient mathematical model of the stoker-"red boiler is available, it would be very hard to design its controller by using any traditional model-based method. Therefore, the most widely used controller for the boiler system is a conventional PID-type...

This paper presents the application of a fuzzy-logic controller for an AC servomotor. The fuzzy-logic controller is coupled to conventional methods for AC Servo commutation, such as a field-oriented flux control and voltage amplifiers. A test bench platform was designed specifically to test the controller at different load values. The behaviour of the speed and torque variables got stable while...

In this paper, the upper bounds for a multivariable fuzzy logic controller under G/Sdel's implication are investigated and a generalized multivariable structure of fuzzy controller are proposed. Contribution operators, such as max (v) operation, ensure the greatest upper bound as well as the least upper bound. Conditions which determine an appropriate upper bound are also determined. This theor...