This paper presents the application of an adaptive fuzzy logic controller with feed-forward component (AFLCF) to the Selective Compliance Assembly Robot Arm (SCARA Robot). The feed forward torque component is computed on-line using an artificial neural network (ANN) which has been trained off-line. This feed-forward component is designed to deliver the ideal torque component to the robot derive...

In this paper is presented a fuzzy PI controller. Fuzzy PI controller and principles their performing is considered in large applications. Based on a qualitative descripion of the system to be controlled, fuzzy controller is capable of good performances when a mathematical description is not available. The PI like controller presented is general and can be applied to any dc to dc power converte...

A comparative study on performance in terms of transient time response specifications for position control of a separately excited DC Servomotor using Fuzzy logic control on PD strategy and general PD control strategy is done. Fuzzy Logic Controller (FLC) based on PD strategy is designed for both the inference mechanismsMamdani type and Takagi-Sugeno type. Robustness test for both the controlle...

The proposed Fuzzy Logic Controller (FLC) is a novel approach for dynamic buffer tuning at the user/server level. It eliminates buffer overflow by ensuring that the buffer length always cover the queue length adaptively. The FLC and the AQM (active queue management) mechanisms at the router/system level together form a unified solution to stifle TCP (Transmission Control Protocol) channel buffe...

Based on the similarity between prevalent fuzzy logic controllers (FLC) and the conventional robust controller, i.e., the variable structure controller, control theoretic analysis of a fuzzy control system is presented in the sense of Lyapunov. As well as the robustness of the fuzzy control system against uncertainties of a controlled process, this analysis gives an account of the relationship ...

A candidate for intelligent control for lateral guidance of a vehicle is a fuzzy logic controller (FLC). The details of the most recent FLC with a rule base derived from heuristics and designer insight to the problem at hand, as well as a method for estimating a projected lateral displacement are presented along with simulation results. The structure of this FLC is suited to incorporate human k...

This paper presents a new Fuzzy Logic Controller (FLC) having the ability to support fractional polynomial membership functions. These functions are general forms of triangular and trapezoidal membership functions, and also those functions which are used in linguistic hedge FLC (LHFLC). A two-input, single-output Takagi–Sugeno–Kang (TSK) type 0 FLC is designed in 0.35 μm standard CMOS process. ...

A fuzzy logic controller (FLC) is designed to maintain constant tension for tandem rolling mills. Envisioning fuzzy inference system as neural network and introducing tutor, backward propagation algorithm is used as self-organization technique for FLC to approach the best parameters under supervision. Simulation results exhibit the generalization and adaptivity of neuro-fuzzy controller in offl...

Area optimization is one of the important problems in reconfigurable systems. A Field-programmable gate array (FPGA) based optimised Fuzzy Logic Controller(FLC) has been developed for speed control of DC Motor by exploiting the basic features of Fuzzy logic. The aim of the proposed scheme is to reduce the area, as compared with conventional Fuzzy Logic Controller. The area of a design refers to...

This paper presents a novel design of Proportional and Integral (PI) like Fuzzy Logic Controller (FLC) for Buck converters that integrates linear control techniques with Fuzzy Logic .The design procedure allows the small signal model of the converter and linear control design techniques to be used in the initial stages of FLC design. This simplifies the small signal design and stability assessm...