This work investigates a simple design of the scaling factors fuzzy tuning procedure of a fuzzy logic controller (FLC) for speed regulation of an indirect field-oriented induction motor (IM). A simple but powerful fuzzy adaptation of the FLC three scaling factors is proposed. This adaptation does not require the knowledge of the system model. The influence of different combinations of the FLC s...

Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation abo...

As the robot manipulators are highly nonlinear, time varying and Multiple Input Multiple Output (MIMO) systems, one of the most important challenges in the field of robotics is robot manipulators control with acceptable performance. In this research paper, a simple and computationally efficient Fuzzy Logic Controller is designed based on the Fuzzy Lyapunov Synthesis (FLS) for the position contr...

In this paper, a fuzzy logic controller is proposed for an application of HVDC link to stabilize the frequency oscillation in a parallel AC – DC interconnected power systems. When an interconnected AC power system is subjected to a load disturbance, system frequency may be considerably disturbed and becomes oscillatory. By utilizing the system interconnections as the control channels of HVDC li...

Generally the inverted pendulum is unstable, because the pendulum will fall downward due to the gravitational force acting on mass of the pendulum. Keeping the pendulum at vertically inverted position, the position of DC motor shaft needs to be controlled using closed loop analysis. For closed loop analysis, feedback or input device such as encoder is used. To control and set the pendulum at de...

The industrial applications of fuzzy logic controllers (FLC) for complex, nonlinear, time varying processes with time delay mark a considerable progress. It is inspired by the recent theoretical achievements in the FLC’s design and tuning related to system stability and robustness. The design and the FLC simplicity are of crucial importance. There exists an easy design and tuning procedure for ...

Abstract. This paper deals with the stability analysis of fuzzy logic control (FLC) systems. The output characteristic of this class of controllers is nonlinear, thus it is necessary to use stability analysis methods for nonlinear systems. Here we use the Popov criterion. The systems analysed have a FLC with two input variables and one output variable, resulting in a surface as the nonlinear ou...

The highly nonlinear characteristics of drying processes have prompted researchers to seek new nonlinear control solutions. However, the relation between the implementation complexity, on-line processing complexity, reliability control structure and controller’s performance is not well established. The present paper proposes high performance nonlinear fuzzy controllers for a real-time operation...

Intelligent traffic signal control (TSC) system is important for the alleviation of traffic congestion. Usually, most of the researches about TSC focused on single intersection based on type-1 fuzzy set. Compared with type-1 fuzzy logic controller (FLC), type-2 FLC can deal with more uncertainties in the road traffic control system. Therefore, a type-2 FLC optimized by NSGAII (T2-NSGAII) is des...

The fuzzy logic control (FLC) has been successfully applied in diverse fields since Zadeh [8] first introduced the fuzzy set theory. Basically, one of the most widely adopted FLCs is the fuzzy-rule-based-system, the Mamdani FLC, which is based on human expertise and knowledge, so that precise and accurate descriptions of the mathematical model of the controlled plant are not required for design...