This paper discussed the problem of trajectory tracking control for the nonholonomic mobile robot’s kinematic model with the angular speed of two actuated wheels as its control input. Based on the backstepping control algorithm, a sliding-mode variable structure switching function is designed, in order to improve the quality of motion control, fuzzy logic is used to adjust sliding-mode reaching...

In this paper, we propose a new fuzzy bang–bang relay controller (FBBRC). The bang–bang control systems use switching relays or hard limiter saturation functions with fixed parameters, and their input does not have the flexibility to control the non-linear system over its entire range of operation. The conventional fuzzy bang–bang controllers have an analog output and an external hard limiting ...

The aim of this article is propose a method to improve the direct torque control and design a Fuzzy Logic based Controller which can take necessary control action to provide the desired torque and flux of an asynchronous machine. It’s widely used in the industrial application areas due to several features such as fast torque response and less dependence on the rotor parameters. The major proble...

Recently fuzzy techniques are widely applied in the area of digital image restoration. Main achievements related are presented by four parts, in which the filters based on fuzzy rank selection, fuzzy weighted, fuzzy neural network(FNN) and soft-switching are systematically analyzed, respectively. The advantages and disadvantages of fuzzy image restoration approach are presented. And some import...

Designing effective congestion control strategies for broadband networks is known to be difficult because of the variety of dynamic parameters involved such as link speeds, burstiness of the traffic, the distances between traffic sources and switching nodes. The uncertainties involved cause quantitative modeling of broadband networks almost impossible. Qualitative modeling techniques using the ...

This paper investigates observer-based stabilization for nonlinear descriptor systems using a fuzzy integral sliding mode control approach. Observer-based integral sliding mode control strategies for the T-S fuzzy descriptor systems are developed. A two step design is first developed to obtain the observer gains and coefficients in the switching function using linear matrix inequalities, and th...

In the conventional DTC, the selected voltage vector is applied for the whole switching period regardless of the magnitude of the torque error. This can result in high torque ripple. A better drive performance can be achieved by varying the duty ratio of the selected voltage vector during each switching period according to the magnitude of the torque error and position of the stator flux. A dut...

This paper presents the three – level neutral point diode clamped inverter is used in a distribution static compensator (DSTATCOM), making use of the multi-level inverter advantages of low harmonics distortion and reduced switching losses. The pulse width modulation (PWM) inverter is employed as DSTATCOM compensating reactive power and eliminates the harmonics drawn from a non-linear load. A fu...

The Direct Torque Control (DTC) is one of the most effective control and modern methods for high performance AC drives in a wide variety of industrial application and conventional DTC technique uses two constant reference values stator flux and torque ripple. In this paper, two approach intelligent techniques such as fuzzy logic (FL) and Artificial Neural Networks (ANN) used to improving the pe...

Classic and intelligent techniques aim to locate track the maximum power point of photovoltaic (PV) systems, such as perturb observe (P&O), fuzzy logic (FL), artificial neural networks (ANNs), adaptive neuro-fuzzy inference systems (ANFISs). This paper proposes compares three algorithms for tracking (MPPT) control, specifically fuzzy, ANN, ANFIS. The modeling a single-diode equivalent circu...