In this study an Adaptive Neuro Fuzzy Inference System is introduced to select the switching states of Matrix Converters. Matrix converters have received more attention in research and industrial application due its advantages like four quadrant operation, sinusoidal input and output waveforms, controllable displacement factor, less number of switches etc., Matrix Converters are efficient in sp...

According to the character of the volume-lag of the controlled process of three-tank-system, Smith predictor was adopted to compensate three-tank-system fuzzy adaptive control system. Fuzzy adaptive Smith predictive control system is composed with Smith predictor and fuzzy adaptive controller. The PID parameters were setting on line. This algorithm uses fuzzy adaptive PID control to improve the...

In this paper, a new sensorless model reference adaptive method is used for direct control of active and reactive power of the doubly fed induction generator (DFIG). In order to estimate the rotor speed, a high frequency signal injection scheme is implemented. In this study, to improve the accuracy of speed estimation, two methods are suggested. First, the coefficients of proportional-integral ...

This study is concerned with the problem of decentralized adaptive faulttolerant control for a class of large-scale non-affine and nonlinear systems with external disturbances and actuator failures including loss of effectiveness and bias. Based on fuzzy logic systems (FLSs) to approximate the appropriate nonlinear functions, a novel decentralized adaptive fuzzy fault-tolerant control scheme is...

Abstract This paper presents implementation of the adaptive neuro-fuzzy control method. Control performance of the adaptive neuro-fuzzy control method for a popular inverted pendulum system is evaluated. The inverted pendulum system is designed and built as an education kit for educational purpose for engineering students. The educational kit is specially used for intelligent control education....

The shimmy phenomenon is a self-excited limit cycle oscillation occurring in many physical rolling systems, particularly in aircraft nose landing gears (NLG). This paper presents a new active damping controller developed in the context of the European DRESS (“Distributed and Redundant Electro-mechanical nose gear Steering System”) project for avoiding the shimmy oscillation. The controller base...

In the paper a fuzzy adaptive control algorithm is presented. It belongs to the class of direct model reference adaptive techniques based on a fuzzy (Takagi–Sugeno) model of the plant. The plant to be controlled is assumed to be nonlinear and predominantly of the 2rst order. Consequently, the resulting adaptive and control laws are very simple and thus interesting for use in practical applicati...

An adaptive fuzzy control scheme is studied in this paper for the directcurrent (DC) motor systems with dead-zone input. The fuzzy logic systems are used to approximate the unknown functions in DC motor and based on the information of the parameters on the dead-zone, an adaptive fuzzy control approach is developed via backstepping design technique. Compared with the existing works for DC motor,...

in recent years, underactuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has become a major field of interest due to the complexity and high computational load of these systems. hierarchical sliding mode control has been investigated recently for these systems; however, the instability phenomena will possibly occur, especia...

Conventional control depends on the mathematical model of the plant being controlled. When this model is uncertain, intelligent controllers promise better performance. This paper presents a theoretical study on model reference adaptive fuzzy logic controller for vector controlled Permanent Magnet Synchronous Motor (PMSM) drive. In the proposed system, Fuzzy Logic Control (FLC) is used to implem...