In this paper, we propose two approach intelligent techniques of improvement of Direct Torque Control (DTC) of Induction motor such as fuzzy logic (FL) and artificial neural network (ANN), applied in switching select voltage vector .The comparison with conventional direct torque control (DTC), show that the use of the DTC_FL and DTC_ANN, reduced the torque, stator flux, and current ripples. The...

Robot soccer is a challenging platform for multi-agent research, involving topics such as real-time image processing and control, robot path planning, obstacle avoidance and machine learning. The robot soccer game presents an uncertain and dynamic environment for cooperating agents [1][2]. Dynamic role switching and formation control are crucial for a successful game. The fuzzy logic based stra...

The automation of bioregenerative life support systems poses challenges for the development of model-based approaches given the varying characteristic of the biological processes that constitute them. Switching control paradigms offer an alternative for the management of such uncertainty by introducing flexibility into the control path and allowing for different control modes depending on the o...

The aim of this research is to design and simulate a fuzzy logic controller (FLC) to control the cell multiplexing in Asynchronous Transfer Mode(ATM) networking , which is a high performance cell oriented switching technology that utilizing of small size packet to carry different types of service for traffic and to show the effect of using the fuzzified variables (queuing message length and the...

An efficient noise reduction approach is proposed by combining Robust Outlyingness Ratio (ROR) which measures how impulse like each pixel is, with noise adaptive fuzzy switching median filter (NAFSM) and fuzzy c-means (FCM) segmentation. Based on the ROR values all the pixels are divided into four levels. Then in the coarse and fine stage introduce the NAFSM filter that optimizes the performanc...

This study proposes a fuzzy sliding mode control strategy to realize wind energy conversion optimization based on doubly-fed induction generator (DFIG). Its operational points in partial load zone can be electronically controlled. Chattering in wind energy conversion sliding mode control system is greatly alleviated based on fuzzy switching gain adjustment. The purposes including the maximum po...

This paper presents the dynamic modeling and fuzzy sliding mode control for rigid-flexible multibody systems. To investigate the dynamic stiffening of rigid-flexible systems, a firstorder approximate model of a flexible spacecraft system is formulated by using Hamilton’s principles and assumed mode method, taking into account the second-order term of the coupling deformation field. For highly f...

In industrial applications, the dynamic characteristics of the servo-hydraulic system are always complex and highly nonlinear. Moreover, there are too many uncertainties in it; for example, the viscosity of oil, the bulk modulus, the oil volume, the system pressure, the wear and the cavitations. The loading conditions are usually rather unsteady, and the loading forces change in a wide range du...

With the development of the rural power grids increasing gradually, there are higher requirements needed for its operation in reliability and economy. Reactive compensation using shunt capacitor at both ends of the load, reducing current of lines, and improves the power factor of system. The objective is to reduce losses of line, and improves the quality of voltage and the utilization of electr...

A fuzzy based three phase inverter with single DC source for grid connected photo voltaic (PV) system employing three phase transformer is presented in this paper. Space Vector Pulse Width Modulation (SVPWM) control scheme is effectively used to generate the appropriate switching sequences to the inverter switches. The intend of the fuzzy logic approach is to meet high quality output, minimum T...