Decoupled controller for mixed exhausts turbofan engine

2006 ◽  
Vol 110 (1114) ◽  
pp. 783-792
Author(s):  
T. R. Nada
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Response Speed ◽  
Similar Response ◽  
Turbofan Engines ◽  
Engine Control System ◽  
Surge Margin ◽  
Simple Logic ◽  
Temperature Margin ◽  
Selection Of

This paper points out the capabilities of fully decoupled fuzzy controller which introduces simple design approach to deal with the coupling effects in controlling two spools, mixed exhausts turbofan engines. The decoupling is performed through proper selection of input parameters to the controller. Digital nonlinear engine/control system simulation is used to construct the fuzzy rules depending on simple logic. The performance of this controller is compared with that of an optimal controller representing efficient classical and conventional techniques. The decoupled fuzzy control system produces favorable transient strategies that other conventional controllers can not attempt due to its inherent proportionality characteristics. It displays improvements in surge margin for both fan and compressor, and temperature margin with almost similar response time during acceleration. Also, the proposed controller has the capabilities to increase the response speed during deceleration independently from acceleration transient.

Tests of an Improved Rotating Stall Control System on a J-85 Turbojet Engine

1980 ◽  
Vol 102 (4) ◽  
pp. 903-911 ◽  
Author(s):  
G. R. Ludwig ◽  
J. P. Nenni
Keyword(s):  
Control System ◽  
Response Time ◽  
Detection System ◽  
Response Speed ◽  
Rotating Stall ◽  
The Past ◽  
Turbojet Engine ◽  
Design Speed ◽  
Stall Control ◽  
Selection Of

An improved version of a rotating stall control system has been tested successfully on a J-85-B turbojet engine. Past tests had pointed out the desirability of increasing the response speed of the control. In this study, the installation of the stall control on the J-85 was modified so as to decrease the response time of the control by a factor of ten over that attained in the past tests. The modified control was tested to see if the decreased response time improved the ability to clear rotating stall once it has started, and also to see if rotating stall could be anticipated and prevented by proper selection of the variables in the stall control detection system. The performance of the stall control was tested by closing the bleed doors on the engine until rotating stall occurred or until the control anticipated stall and held the bleed doors open. The tests showed that the control is capable of anticipating stall before it occurs and keeping the engine completely clear of stall at speeds up to 80 percent of design speed. No tests were performed above 80 percent of design speed because opening the bleed doors at such speeds might aggravate the stall rather than clear it.

Active Hierarchical Fuzzy Control for Gas Turbine Altitude Relighting Using Multi-Objective Optimization

2006 ◽  
Author(s):  
Sogkyun Kim ◽  
Haydn Thompson ◽  
Peter Fleming
Keyword(s):  
Fuzzy Controller ◽  
Engine Performance ◽  
Multi Objective Optimization ◽  
Fuzzy Controllers ◽  
Idle Speed ◽  
Multi Objective ◽  
Turbofan Engines ◽  
Surge Margin ◽  
Compressor Surge ◽  
Low Altitude

The developments of high bypass turbofan engines and improvements in high temperature materials have resulted in smaller engine cores. These smaller core engines result in correspondingly lower airflows that introduce their own design problems, including failure to reach idle, stagnation, increased time to reach idle and lack of surge margin. Such problem can occur in engine relighting at low altitude and immediately following take-off. Engineers have provided solutions to such problems but they tend to be specific solutions for individual engines. In this paper a systematic approach to improve engine performance in altitude relighting is addressed which does not involve any modification to hardware, including the engine components or the fuel metering unit. The application of active control solutions has been evaluated to improve engine low altitude relighting performance. Initially an active fuzzy controller has been designed to improve the pull-away performance after relight. Further, an active hierarchical fuzzy controller has also been designed to establish if it can offer further benefits. Multi-objective optimization is used, both to optimize the parameters of the fuzzy controllers and also to produce a concise number of fuzzy rules for the fuzzy controller(s). Compared to the conventional controller, with a look-up table approach, the active fuzzy controllers can reduce the time to reach idle speed, by utilising compressor surge margin and increase combustion operability. In this way, a generic and more flexible framework for designing relighting logic emerges, that captures the knowledge incorporated within the design of the original logic. This leads to significant improvements in the design of future relighting control systems.

Matlab Simulation of System with Fuzzy Control in Kiln Temperature

2014 ◽  
Vol 631-632 ◽  
pp. 680-683 ◽  
Author(s):  
Xian Hong Shi ◽  
Qing Jin Meng ◽  
Xiao Ming Li ◽  
Zheng Zheng ◽  
Xiao Yan Ma ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Rotary Kiln ◽  
Fuzzy Controller ◽  
Response Speed ◽  
Normal Operation ◽  
System Response ◽  
Factors Affecting ◽  
Kiln Temperature

Temperature control requires a lot of control regulator. It has wide applications in cement, metallurgy and other industrial fields. The key equipment in metallurgy , cement, refractory materials production is Rotary kiln, of which temperature is one of the important parameters of process control .The kiln of calcination temperature in rotary kiln is an important factor affecting the quality and output of the kiln, and even cause the collapse of the kiln, affecting the normal operation of production. Based on the analysis for several important factors affecting the kiln temperature, the paper presents the application of fuzzy control in temperature control of rotary kiln. A fuzzy controller was established using the matlab fuzzy toolbox. A simulink rotary kiln fuzzy control system simulation was carried out on the kiln temperature control simulation. The simulation results show that the system response speed is faster and has better robustness compared with the traditional PID control system.

DESIGN, SIMULATION AND IMPLEMENTATION MONITORING SYSTEM FOR SYSTEM CONTROL C4 FEEDING PUMP FOR FEED VAPORIZATION IN THE BUTADIENE PLANT

2020 ◽  
Vol 1 (1) ◽  
pp. 31-35
Author(s):  
Fahmi Yunistyawan ◽  
Yunistyawan J Berchmans ◽  
Gembong Baskoro
Keyword(s):  
Motor Control ◽  
Control System ◽  
Field Operator ◽  
System Control ◽  
Variable Speed ◽  
Variable Speed Drive ◽  
Software And Hardware ◽  
Discharge Pressure ◽  
Selection Of

This study implements the auto start control system on an electric motor 3 phase C4Feeding pump when the discharge pressure is low-low (4.3 kg /cm²). The C4 feeding pumpmotor was initially manually operated from the local control station, this was very ineffectiveand inefficient because it still relied on the field operator to operate the pump motor and whenthe plant was in normal operating it is very risk if the field operator late to operate motor then itwill impact to quality of the product, and if the delay time to operate motor is too long then planthave to shut down, therefore improvement is needed in the C4 feeding pump motor controlsystem. In this paper, various types of 3-phase motor control are explained which allow it to beapplied to the C4 feeding pump motor that are on-off, inverter, and variable speed drive andefficient selection of the three systems control of the motor. Software and hardware used in thisthesis work are DCS CENTUM VP Yokogawa.

SYNTHESIS AND OPTIMIZATION OF FUZZY CONTROLLER FOR CONTROL SYSTEM OF FLOATING DOCK DRAFT

2016 ◽  
Vol 23 (99) ◽  
pp. 113-120
Author(s):  
Yuri P. Kondratenko ◽  
◽  
Alexey V. Korobko ◽  
Alexey V. Kozlov ◽  
Andrej N Topalov ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Controller

Path Tracking Controller Design of Automatic Guided Vehicle Based on Four-Wheeled Omnidirectional Motion Model

2020 ◽  
Vol 17 (2) ◽  
pp. 7996-8010
Author(s):  
X. Wu ◽  
Y. Yang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Threshold Value ◽  
Position Angle ◽  
Path Tracking ◽  
Global Coordinate System ◽  
Automatic Guided Vehicle ◽  
Input Variables ◽  
Industrial Pc

This paper presents a new design of omnidirectional automatic guided vehicle based on a hub motor, and proposes a joint controller for path tracking. The proposed controller includes two parts: a fuzzy controller and a multi-step predictive optimal controller. Firstly, based on various steering conditions, the kinematics model of the whole vehicle and the pose (position, angle) model in the global coordinate system are introduced. Secondly, based on the modeling, the joint controller is designed. Lateral deviation and course deviation are used as the input variables of the control system, and the threshold value is switched according to the value of the input variable to realise the correction of the large range of posture deviation. Finally, the joint controller is implemented by using the industrial PC and the self-developed control system based on the Freescale minimum system. Path tracking experiments were made under the straight and circular paths to test the ability of the joint controller for reducing the pose deviation. The experimental results show that the designed guided vehicle has excellent ability to path tracking, which meets the design goals.

The Comparison Between Therapeutic Effects of Different Classes of Antidepressant Drugs in Treatment of Genetical and Reactional Depression

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
P. Molavi ◽  
M. Karimollahi ◽  
M. Faridi
Keyword(s):  
Antidepressant Drugs ◽  
Response Speed ◽  
Point Of View ◽  
Block Type ◽  
Therapeutic Effects ◽  
Response Type ◽  
Analysis Method ◽  
Dsm Iv ◽  
Selection Of ◽  
Analyze Data

Background:Depression as a common psychiatric disorder can occur in two types: Endogenous or genetic and exogenous or Reactional. These two types of depression, from the point of view of response speed to treatment and type of appropriate drug for treatment are different. This study has been executed to compare therapeutic effects of different classes of anti-depressant drugs in treatment of genetic and Reactional depression.Materials and methods:Present survey is a clinical-trial study, a completely randomly block type, that has performed on 30 patients (male and female). Selection of study sample accomplished randomly among unipolar depressed patients that has referred to Ardabil’s psychiatry clinic diagnosed based on DSM-IV criteria. Researcher - Made questionnaire, Beck, and Catelle depression test were used to collect data. To analyze data, for completely randomly blocked designs, two-factor variance analysis method and F test were used.Results:This study showed that Genetical depression does not response treatment Rapidly and its response type is not good and persistent. From the point of view of time, Reactional depression has a delaying response but its response type is good and persistent. In addition, no difference was observed in efficacy of different classes of drugs for treatment of these two types of depression. The results of this research showed that there is no difference between treatment response of two types of depression (Genetical and Reactional).Conclusions:There is no preference in efficacy of different classes of drugs in treatment of these two types of depression.

scholarly journals Collective Losses of Low Power Cage Induction Motors—A New Approach

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1749
Author(s):  
Elzbieta Szychta ◽  
Leszek Szychta
Keyword(s):  
Control System ◽  
Experimental Studies ◽  
Complex Problem ◽  
Accurate Estimation ◽  
New Approach ◽  
Water Pumping ◽  
Efficiency Control ◽  
Interacting Systems ◽  
Cage Induction Motor ◽  
Selection Of

Energy efficiency of systems of water pumping is a complex problem since efficiency of two distinct interacting systems needs to be combined: water and power supply. This paper introduces a non-intrusive method of calculating the so-called “collective losses” of a cage induction motor. The term “collective losses”, which the authors define, allows for accurate estimation of motor efficiency. Control system of a pump determines operating point of a pumping station, and thus its efficiency. General estimated performance characteristics of a motor, components of a control system, are assumed to serve selection of a range of pumping speed variations. Rotational speed has a direct effect on motor load torque, pump power and head, and thus on motor performance. Hellwig’s statistical method was used to specify characteristics of estimated collective losses on the basis of experimental studies of 21 motors rated at up to 2.2 kW. The results of simulations and experiments are used to verify validity and efficiency of the suggested method. The method is non-intrusive, simple to use, and requires minimum data.

scholarly journals An Adaptive Neuro-Fuzzy Control of Pneumatic Mechanical Ventilator

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 51
Author(s):  
Jozef Živčák ◽  
Michal Kelemen ◽  
Ivan Virgala ◽  
Peter Marcinko ◽  
Peter Tuleja ◽  
...  
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Mechanical Design ◽  
Mechanical Ventilator ◽  
Mechanical Ventilators ◽  
Inference System ◽  
Control Approach ◽  
Neuro Fuzzy

COVID-19 was first identified in December 2019 in Wuhan, China. It mainly affects the respiratory system and can lead to the death of the patient. The motivation for this study was the current pandemic situation and general deficiency of emergency mechanical ventilators. The paper presents the development of a mechanical ventilator and its control algorithm. The main feature of the developed mechanical ventilator is AmbuBag compressed by a pneumatic actuator. The control algorithm is based on an adaptive neuro-fuzzy inference system (ANFIS), which integrates both neural networks and fuzzy logic principles. Mechanical design and hardware design are presented in the paper. Subsequently, there is a description of the process of data collecting and training of the fuzzy controller. The paper also presents a simulation model for verification of the designed control approach. The experimental results provide the verification of the designed control system. The novelty of the paper is, on the one hand, an implementation of the ANFIS controller for AmbuBag pressure control, with a description of training process. On other hand, the paper presents a novel design of a mechanical ventilator, with a detailed description of the hardware and control system. The last contribution of the paper lies in the mathematical and experimental description of AmbuBag for ventilation purposes.

scholarly journals Co-Simulation of Distributed Engine Control System and Network Model using FMI & SCNSL

2015 ◽  
Vol 48 (16) ◽  
pp. 261-266 ◽  
Author(s):  
Nicolai Pedersen ◽  
Jan Madsen ◽  
Morten Vejlgaard-Laursen
Keyword(s):  
Control System ◽  
Network Model ◽  
Engine Control ◽  
Engine Control System
Sign in / Sign up

Export Citation Format

Share Document