Control Algorithm

This paper presents a novel approach for the design and simulation of variable-speed drives when the control algorithm is to be implemented in an Field Programmable Gate Array (FPGA). The specialized Simulink tools used and the design procedure are presented. An ...

Page 1. ORIGINAL ARTICLE Design of an advanced incremental fuzzy logic controller for laser surface heat treatments José Antonio Pérez & José Luis Ocaña & Carlos Molpeceres Received: 5 July 2006 /Accepted: 7 November ...

A NPID (nonlinear PID) control algorithm is applied to a class of truck ABS (anti-lock brake system) problems. The NPID algorithm combines the advantages of robust control and easy tuning. Simulation results at various situations using TruckSim show that NPID controller has shorter stopping distance and better velocity performance than the conventional PID controller and a loop-shaping controller

of the lower body, as blood from the upper part of the body shifts into these lower vessels. The pooling of blood in the lower extremities translates into reduced cardiac output Cardiovascular system reflexes respond by increasing heart rate to maintain adequate blood flow to the central nervous system in an attempt to preserve normal brain function. The physical symptoms of+Gzstress range from peteChial hemorrhages to loss of vision and, eventually, G-induced loss of consciousness (G-LOC), with its potentially fatal consequences. G-LOC is considered to be a random event. To date, no physiologic vari­ able has been defmitively linked with a "predisposition to G-LOC." In a 1986 survey, 12% ofNavy pilots reported G-LOC in flight; the U.S. Air Force report­ ed 18 accidents (14 fatalities) due to G-LOC (1982-90). The goal of current G­ LOC research is its prediction in flight to either avoid it or implement a pilM/air­ craft recovery. The Naval Air Warfare Center Aircraft Divi...

This paper presents the design and analysis of a parallel connected inverter configuration of. The configuration consists of parallel connected three-phase dc/ac inverter. Series resistors added to the inverter output to maintain same current in each inverter of the two parallel inverters, and to reduce the circulating current in the parallel inverters to the minimum. High frequency third harmonic injection PWM (THIPWM) employed to reduce the total harmonic distortion and to make maximum use of the voltage source. DSP was used to generate the THIPWM and the control algorithm for the converter. Selected experimental results have been shown to validate the proposed system.

In the food industry pasteurisation is very commonly carried out using plate heat exchangers. Steady-state analysis of, and experimentation into, the effects of disturbances on the temperatures showed that temperature approach (water inlet temperature minus milk outlet temperature) changed very little. This showed that control based on a steady temperature approach could be effective. A control algorithm that calculates the

Page 1. ORIGINAL ARTICLE Design of an advanced incremental fuzzy logic controller for laser surface heat treatments José Antonio Pérez & José Luis Ocaña & Carlos Molpeceres Received: 5 July 2006 /Accepted: 7 November ...

This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (IGA), that utilizes IntelliDrive technologies to improve the efficacy of traffic signals. The IGA is fully decentralized and takes a novel approach to traffic signal control using k-means clustering. A VISSIM model of a real-world arterial was used to evaluate the IGA and its performance was compared to that of an actuated timing plan. The IGA consistently improved traffic mobility, and sustainability as volumes increased, even at lower IntelliDrive market penetration levels. The results demonstrate the power of IntelliDrive data and that decentralized traffic signal control can achieve system-wide benefits at lower computational costs.

A novel actuator system which has achieved increased popularity to provide these advantages such as high strength and power/weight ratio, low cost, compactness, ease of maintenance, cleanliness, readily available, cheap power source, inherent safety and mobility assistance to humans performing tasks has been the utilization of the pneumatic artificial muscle (PAM) manipulator, in recent times. However, the complex nonlinear dynamics of the PAM manipulator makes it a challenging and appealing system for modeling and control design. The problems with the time variance, compliance, high hysteresis and nonlinearity of pneumatic systems have made it difficult to realize precise position control with high speed. In order to realize satisfactory control performance, the effect of nonlinear factors contained in thePAM manipulator must be considered. The purpose of this study is to improve the control performance of thePAM manipulator using a nonlinearPID controller. Superb mixture of conventionalPID controller and the neural network, which has powerful capability of learning, adaptation and tackling nonlinearity, brings us a novel nonlinearPID controller using neural network. This proposed controller is appropriate for a kind of plants with nonlinearity uncertainties and disturbances. The experiments were carried out in practicalPAM manipulator and the effectiveness of the proposed control algorithm was demonstrated through the experiments, which suggests its superior performance and disturbance rejection.

CONTROLAB is an environment which integrates intelligent systems and control algorithms aiming at applications in the area of robotics. Within CONTROLAB, two neural network architectures based on the backpropagation and the recursive models are proposed for the implementation of a robust speaker-independent word recognition system. The robustness of the system using the backpropagation network has been largely verified through use by children and adults in a totally uncontrolled environment such as large public halls for the exhibition of new technology products. Initial experimental results with the recursive network show that it will be able to overcome the backpropagation network major drawback, which is the frequent generation of false alarms. In addition, within CONTROLAB, a multivariable self-tuning algorithm is proposed to perform high-precision control of the trajectory, to be followed by a robot arm. High-precision control is achieved due to the ability of the algorithm to ...