Adaptive PID controller based on real base function (RBF) network identification by optimal tuning of proportional– integral–derivative (PID) controller parameter is necessary for thematic factory operation of an automatic voltage regulator (AVR) system. This study presents a combined genetic algorithm (GA) and real base function network (RBF) identification control approach to determine the op...

The work has done in this paper concern the passive fault tolerant control. Based on Gain-Adaptive Proportional-Integral-Derivative (PID) using the approach from the theory of Lyapunov and their application to the model vertical flying drone Quadrotor type, the PID controller with fixed parameters may fail to provide acceptable control performance. To improve the PID control effect, new designs...

Temperature Measurement is one of the major controlling parameter in Industries like Level, Flow, Pressure etc. One of such Temperature processes is taken in this paper and Modelling of the Process has been carried out and Transfer function of the Single Input Single Output (SISO) system. For the particular temperature process controller transfer function has been determined and control paramet...

This paper analyses the current Internet congestion control mechanisms and presents two control theoretical approaches based on the existing Proportional-Integral-plus-Derivative (PID) controllers. The parameters were selected to ensure the stability of the control loop. It is shown that a modified PID controller offers a quick response, good utilisation and fair share of available bandwidth an...

This paper present a pulse width modulation non-isolated buck converter using PID controller. The buck converter constituted by one Gto, one inductor, one capacitor, one diode and one load resistor. In this the buck converter connected to the PID controller, PID controller calculate an error value as the difference between a measured process variable and a desired set point. The proportional P ...

In today‟s world, fuzzy logic and particle swarm optimization are used to answer various engineering problems. In this paper, the proportional integral derivative (PID) controller tuning by fuzzy rule method (FRMs) and a particle swarm optimization (PSO) algorithm are proposed to improve controller by adjusting transfer function parameters. The proposed fuzzy rule function and PSO algorithm sea...

In this paper a new method for two linkrobotic manipulator systems control using Neural Network, The first method is based on Proportional-Integral-Derivative controller, the second method is based on artificial Neural Network by PID controller for Two linkrobot control with different load.

Automatic control has played a vital role in the evolution of engineering and science. It is also important in such industrial operations as controlling temperature, pressure, humidity, flow and level in the process. This paper focus on the development and implementation of an intelligent optimization to obtain a optimum PID controller settings for level control process in cylindrical tank. Sys...

Since random early detection (RED) was proposed in 1993, many active queue management (AQM) algorithms have been proposed to support better end-to-end Transmission Control Protocol (TCP) congestion control. In this article, the authors introduce and analyze a feedback control model of the TCP/AQM dynamics. Then they suggest the concept of an AQM algorithm that can detect and avoid congestion pr...