On line quality evaluation is an important domain particularly in the complex processes where the characteristic of the product quality is difficult to measure directly. Evaluation based modelling techniques can be considered as an alternative to solve such complex problem. We consider in this work a contribution for product quality evaluation in hot rolling using fuzzy models. Residual changes...

Fuzzy logic and proportional-integral-derivative (PID) controllers are compared for use in direct current (DC) motors positioning system. A simulation study of the PID position controller for the armature-controlled with fixed field and fieldcontrolled with fixed armature current DC motors is performed. Fuzzy rules and the inferencing mechanism of the fuzzy logic controller (FLC) are evaluated ...

This paper presents the development of a level control system using 3D machine vision techniques based on a single leveldetector sensor (Kinect), in an arrangement of three tanks. Using image processing algorithms, each one of the tanks is classified within the video sequence as well as each one of the depth measurements is averaged regarding the cross sectional area of the surface of the tanks...

This paper presents a performance based comparative study of various fuzzy logic controllers (FLCs) to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional??integral (PI) controller. The fuzzy logic based controller does not require any identification of motor dynamic to control its speed and also assures the disturbance rejection with high robust...

A pneumatic cylinder system is believed to be extremely nonlinear and sensitive nonlinearities, which makes it challenging establish precise position control of the actuator. The current research aimed at reducing overshoot in response a double-acting actuator, namely, IPA positioning system’s reaction time. was modeled using an autoregressive with exogenous input (ARX) model structure, strateg...

In this paper, we present a backstepping based fuzzy logic (FL) scheme for the active control of vehicle suspension systems using the two-degrees of freedom or 1/4 car model. The full dynamics of a novel hydraulic strut are considered. The servo-valve dynamics are also included. A fuzzy logic system is used to estimate the nonlinear hydraulic strut dynamics. The backstepping fuzzy logic scheme ...

Most of the industrial systems exhibit non-linear nature. Conventional controllers are not able to provide good and accurate results; so fuzzy logic control can be used to obtain better response. A model for simulation is designed and all the assumptions are made before the development of the model. An attempt has been made to analyze the efficiency of a Type1 and Type-2 fuzzy controller over c...

This paper presents an advanced intelligent control for cardiac pacemaker systems using fuzzy proportional-integral derivative (FPID) controller. Under three different body states (rest, walking, and exercising), it offers good adaptation of the heart rate to the physiological needs of the patient. Based on dual-sensors, the combination of fuzzy logic and conventional PID control approaches is ...

Due to nonlinear P-V characteristics of photovoltaic generator, a maximum power point tracking(MPPT) algorithm is needed to optimize the performance of photovoltaic (PV) system.In this paper, an adaptive fuzzy proportional integral derivative (AFPID) control based maximum power point tracking strategy for photovoltaic system is proposed. The proposed adaptive fuzzy PID method integrates two lev...

The objective of this study is to present an offline control of highly non-linear inverted pendulum system moving on a plane inclined at an angle of 10° from horizontal. The stabilisation was achieved using three different soft-computing control techniques i.e. Proportional-integral-derivative (PID), Fuzzy logic and Adaptive neuro fuzzy inference system (ANFIS). A Matlab-Simulink model of the p...