scholarly journals Active Control and Energy Cost Assessment of a Rotating Machine

2011 ◽  
Vol 18 (4) ◽  
pp. 613-625 ◽  
Author(s):  
Jarir Mahfoud ◽  
Yan Skladanek ◽  
Johan Der Hagopian
Keyword(s):  
Life Cycle Analysis ◽  
Fuzzy Controller ◽  
Electrical Circuit ◽  
Modal Control ◽  
Rotating Machine ◽  
Numerical Studies ◽  
Considerable Impact ◽  
Control Procedures ◽  
Mechanical Performances ◽  
Operating Stage

The performances for controlling a rotating machine by using either an Electromagnetic Actuator or a Piezoelectric Actuator are compared in this work. The aim is to establish selection criteria based on environmental impact. Life Cycle Analysis shows that the operating stage has a considerable impact. In this study, only the operating stage is considered. The energy consumed by the actuators seems to be the appropriate indicator for the same "mechanical" performances. Numerical studies are carried out in order to quantify the energy consumed in each case. Modal control strategy with a fuzzy controller is used. The controller inputs are displacements and velocities. The system studied is modeled by using finite element method and the electrical circuit of each actuator is modeled by using basic electricity and electromagnetism theories. Several configurations are assessed and defined by using the chosen Functional Unit.The results obtained show that both controllers are efficient and enable recommendations for optimal control procedures design for the energy consumed.

Energy Cost Assessment of the Active Control of a Rotating Machine by Using an Electromagnetic Actuator and a Piezoelectric Actuator

2009 ◽  
Author(s):  
Yan Skladanek ◽  
Johan Der Hagopian ◽  
Jarir Mahfoud
Keyword(s):  
Piezoelectric Actuator ◽  
Fuzzy Controller ◽  
Electrical Circuit ◽  
Electromagnetic Actuator ◽  
Rotating Machine ◽  
Numerical Studies ◽  
Considerable Impact ◽  
Control Procedures ◽  
Mechanical Performances ◽  
Operating Stage

The performances for controlling a rotating machine by using either an Electromagnetic Actuator or a Piezoelectric Actuator are compared in this work. The aim is to establish selection criteria based on environmental impact. Life Cycle Analysis shows that the operating stage has a considerable impact. In this study, only the operating stage is considered. The energy consumed by the actuators seems to be the appropriate indicator for the same “mechanical” performances. Numerical studies are carried out in order to quantify the energy consumed in each case. Modal control strategy with a fuzzy controller is used. The controller inputs are displacements and velocities. The system studied is modeled by using finite element method and the electrical circuit of each actuator is modeled by using basic electricity and electromagnetism theories. Several configurations are assessed and defined by using the chosen Functional Unit. The results obtained show that both controllers are efficient and enable recommendations for optimal control procedures design for the energy consumed.

Multi-model Fuzzy Modal Control of SISO Nonlinear Plant

2016 ◽  
Vol 14 (4) ◽  
pp. 19-26 ◽  
Author(s):  
V. Lukov ◽  
M. Alexandrova ◽  
N. Nikolov
Keyword(s):  
Fuzzy Controller ◽  
Static Characteristic ◽  
Control Law ◽  
Modal Control ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Nonlinear Static ◽  
Takagi Sugeno ◽  
Nonlinear Plant

Abstract The article presents the synthesis of a multi-model modal control of single input – single output nonlinear plant, based on Takagi-Sugeno fuzzy controller. For that purpose, the nonlinear static characteristic of the plant is presented by two linear parts. These two linear structures are described in state space. The feedback vectors and the coefficients ki of the modal controllers are calculated. An integral component in the control law is added.

Modified PID like fuzzy servo control applied to smart actuator based miniature Parallel Robot

2021 ◽  
pp. 1-21
Author(s):  
R. Ranjith Pillai ◽  
Ganesan Murali
Keyword(s):  
Shape Memory ◽  
Trajectory Tracking ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Parallel Robot ◽  
Electrical Circuit ◽  
Parallel Robots ◽  
Smart Actuator ◽  
Set Up ◽  
General Response

Miniature flexible parallel robots, popularly used for micro positioning application demands the use of non conventional actuators. Shape memory alloys (SMA) are popular smart actuators because of its light weight, integration compatibility, ease of actuation and high power density. Inclusion of shape memory alloy actuators to the parallel robot brings in control challenges due to its nonlinearity, coupling effects and cocontraction of antagonistic pair of actuators in the mechanism in order to achieve bi directional motion. In this paper, a PID like fuzzy controller is designed and applied to a nonlinear SMA spring actuator connected to a symmetric 2 DOF miniature parallel robot. The fuzzy rules are designed from the general response plot and modified to be applied to a parallel mechanism which involves cocontraction of antagonistic actuators. The paper has also presented the control and electrical circuit design used in the experimental set up. The fuzzy control is implemented in the hardware controller with model based position feedback and tested for the trajectory tracking characteristics of the end effector with disturbances. Experimental results are presented with quantitative analysis to show the effectiveness of the proposed controller in handling nonlinearities and disturbances compared to the conventional PID control and nonlinear Sliding mode control (NSMC). The test results has demonstrated the superior nature of proposed control over other controllers in the trajectory tracking with disturbances and also linearizing the hysteresis of controlled system.

scholarly journals Development of an intelligent electric drive control system anchor winch

2021 ◽  
pp. 195-200
Author(s):  
С.П. Черный ◽  
 А.В. Бузикаева ◽  
А.К. Тимофеев
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Electric Drive ◽  
Fuzzy Controller ◽  
Electric Drives ◽  
Intelligent Control System ◽  
Advantages And Disadvantages ◽  
Drive Control ◽  
Control Procedures

Данная работа посвящена моделированию интеллектуальной системы управления электроприводом якорной лебедки с применением теории нечетких множеств. Был приведен анализ существующих систем управления электроприводами якорно-швартовных узлов основанных на различных традиционных схемах регулирования, показаны достоинства и недостатки традиционных систем управления, а также выявлены основные возмущения, носящие существенно-недетерминированный характер. Процедуры интеллектуального управления в реализуемой модели системы управления электроприводом реализуются нечетким регулятором. Интеллектуальная система управления в своей основе имеет нечеткий регулятор с алгоритмом вывода Сугено, формализация входных сигналов по ошибке осуществляется двумя лингвистическими переменными. Кроме того, показано преимущество предлагаемого подхода при построении систем управления электроприводами якорно-швартовных узлов на основании базовых показателей качества. This paper is devoted to the modeling of an intelligent control system for the electric drive of an anchor winch using the theory of fuzzy sets. The analysis of the existing control systems for electric drives of anchor and mooring units based on various traditional control schemes was given, the advantages and disadvantages of traditional control systems were shown, and the main disturbances of a significantly non-deterministic nature were identified. Intelligent control procedures in the implemented model of the electric drive control system are implemented by a fuzzy controller. The intelligent control system is based on a fuzzy controller with the Sugeno output algorithm, the formalization of input signals by error is carried out by two linguistic variables. In addition, the advantage of the proposed approach in the construction of control systems for electric drives of anchor and mooring units on the basis of basic quality indicators is shown.

Experimental and numerical studies of radiative shocks

2006 ◽  
Vol 133 ◽  
pp. 1013-1017 ◽  
Author(s):  
C. Michaut ◽  
L. Boireau ◽  
T. Vinci ◽  
S. Bouquet ◽  
M. Koenig ◽  
...  
Keyword(s):  
Radiative Shocks ◽  
Numerical Studies
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