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Home>Products>Journal and Reviews>I.RE.A.CO.>Latest issue
International Review of Automatic Control (Theory and Applications) - November 2011 (Vol. 4 N. 6) - Papers
International Review of Automatic Control - Papers
Abstract - In this paper, we investigate the chaos anti-synchronization between two identical and different chaotic systems (Lorenz- Stenflo system and Qi system) with fully unknown parameters via adaptive control. Based on the Lyapunov stability theory, an adaptive control law and a parameter update rule for unknown parameters are designed such that the two different chaotic systems can be anti-synchronized asymptotically. Theoretical analysis and numerical simulations are shown to verify the results. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Adaptive Control, Anti-Synchronization, Chaotic LS System, Chaotic Qi System, Unknown Parameters.
Abstract - This
paper contributes with suggesting a procedure that establishes the
optimal corner frequencies of a compensator and in this way bringing a
control system to its best mode of operation. The design of a network
for compensating a feedback control system is optimized to obtain the
best performance that can be offered by the compensating device. The
paper also proposes an analysis by the method of the D-partitioning, to
examine extensively the effects of the parameters variation on the
system’s stability before and after the compensation.
Keywords: Compensation, Phase-lag, Phase-lead, Corner frequencies, Crossover frequencies, Optimization, D-Partitioning.
Abstract - The aim
of this paper is to introduce the concept of observability for
distributed parabolic system evolving in spatial domain Ω, and which the
state is to be observed between two prescribed functions given only on a
boundary subregion Γ of αΩ. We give definitions and some properties of
this kind of regional observability and we describe two approaches to
solve this problem where the first is based on subdifferential
techniques and the second uses the lagrangian multiplier method. This
last approach leads to an algorithm which is performed by numerical
example and simulation.
Keywords: Distributed Systems, Parabolic Systems, Regional Observability, Regional Reconstruction.
Abstract - The
background of this paper is in the control system for the ventilation
process in a relatively long road tunnel. This control system is
supervised by a monitoring system that not only checks the function of
the control loops but detects and diagnoses other control states of the
operation of the whole tunnel. This paper deals with detecting emergent
situations in a complex system by means of structural invariants and
conceptual detection patterns. We distinguish between the function of
the system and the structure of the system: while the monitoring system
checks the changes and faults in the function, the system for detecting
emergent situations checks the changes (or faults) in the structure
(including changes in the monitoring system). The structural invariants
contain the essential characteristics of the structure of the system.
The paper points out the necessity to use more than one detection
dimension and more than one structural invariant for detecting emergent
situations. A conceptual detection pattern is formed by a number of
structural invariants. A theoretical explanation of the structural
invariants and conceptual detection patterns is supplemented by an
example of their application in monitoring the road tunnel ventilation
process.
Keywords: Emergent Situation, Structural Invariant, Conceptual Pattern, Monitoring, Concept Lattice.
Abstract - This
paper presents a new and efficient Adaptive Neural Fuzzy Inference
Systems approach for satellite’s attitude control systems (ACSs) fault
diagnosis. The proposed approach formulates the fault modeling problem
of system component into an on-line parameter estimation The proposed
solution provides the tools to diagnosis various faults in system
components, using Adaptive Fuzzy Inference Systems Parameter Estimators
(ANFISPEs). Simulation results show the effectiveness of the developed
FDI scheme of an ACSs actuators of a 3-axis stabilized satellite.
Keywords: ANFIS, Fault Diagnosis, Nonlinear Systems, Parameters Estimation.
Abstract - In this paper, a linear fractional transformation (LFT) is presented for boost switching regulators based on µ- synthesis. This LFT includes all of the system uncertainties and parameters, and it can be used to analyze the performance and robustness of designed linear controller. Also, we can use it to design a new robust controller based on µ-synthesis to satisfy the stability and performance conditions of the convertors. In the process of introducing the LFT, it is assumed that the load current is undetermined and the inductor, the capacitance, the diode and the active switch of regulator are nonlinear. Furthermore, either of them has a resistance and the used diode and switch have “on state” voltage drop. These parameters have nonlinear effects on the regulator state matrix arrays. Therefore, by a few conservatives, we can define the new parameters with linear deviations. This process is done by the optimization of several nonlinear functions based on genetic algorithm. At the end, based on our presented P-Δ-K model and µ- synthesis, we analyze a proposed controller for the simple model of boost regulator [1]. And show the merit of our P-Δ-K representation of boost regulator in analyzing the robust performance of designed linear controllers. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: P-Δ-K Representation, LFT, µ- Synthesis, Boost Regulator, Robust Control .
Abstract - Induction motor drives without mechanical speed sensor have the attraction of high reliability and low cost. In this regard several proposals have made by the many researchers throughout the world, where the sensors at the shaft are replaced by the estimation methods. This paper describes the estimation of the rotor speed by using new Model Reference Adaptive System(MRAS) approach. MRAS consists of reference model and adjustable model. In this proposed MRAS speed adaption algorithm, the measured stator current of the induction motor is used as a reference model. This reference model is compared with stator current estimated by using voltage model. The estimated stator current is adjusted with the estimated rotor speed obtained by the new adaption algorithm. The proposed speed estimation algorithm using MRAS is applied for indirect vector control drive and is tested in the MATLAB Simulation, to show superior performance compared to classical MRAS. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Induction motor, Vector control, Speed- sensorless control, MRAS.
Abstract - A Proportional Integral (PI) controller scheme of superconducting energy magnetic storage (SMES) unit is proposed to accelerate the damping of a synchronous generator facing perturbations. The parameters of the PI controller are determined once off-line by a systematic pole assignment method based on modal control theory. Eigenvalue analysis and time- domain nonlinear simulation results show that SMES unit has the capability of system's stability restoration, even in large disturbances. The control scheme also shows that stability margin of the power system is expanded. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: SMES, PI Controller, Stability, Power System.
Abstract - Nowadays, electric power transmission line control is a difficult task but it is an important one for minimizing line losses. Line loss minimization of transmission system depends on the type of controlling device. The proposed system uses Inter Line Power Flow Controller (IPFC) for controlling the multi transmission line because it is one of the best devices available for controlling multi transmission lines. Optimal placement of IPFC in the transmission line is a major problem associated with IPFC. So, we use a combination of Tabu Search (TS) algorithm and Artificial Neural Network (ANN) in the proposed method to find out the best placement locations for IPFC in a given multi transmission line system. TS algorithm is an optimization algorithm and we use it in the proposed method to determine the optimum bus combination using line data. Then using the optimum bus combination, the neural network is trained to find out the best placement locations for IPFC. Finally IPFC is connected at the best locations indicated by the neural network. Then, using Newton Raphson load flow algorithm the transmission line loss of the IPFC connected bus is analyzed. The proposed methodology is implemented in MATLAB 7.10 and tested on the IEEE-14 bus system Then the output is compared with that of genetic algorithm (GA) and general load flow analysis. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Transmission line, IPFC, Tabu Search (TS) algorithm, Artificial Neural Network (ANN), Load Flow Calculation.
Abstract - This
article presents an optimal placement method in order to sizing and
sitting of capacitor banks in IEEE 33 bus test system. The proposed
method in order to optimization in this article is Genetic Algorithm and
the objective function is composed of two parts. The most part of
proposed objective function considers improvement of voltage profile and
other part is active power losses of the system in nominal load of
mention system. In order to use of Genetic algorithm, at first,
placement problem is written as an optimization problem which includes
the objective function and constraints, and then to achieve the most
favorite results, Genetic Algorithm (GA) method is applied to solve the
problem. High performance of the proposed algorithm in mention system is
verified by simulations in MATLAB software and in order to prove of
feasibility of proposed method this optimization in three cases – one
capacitor bank, two capacitor banks, and three capacitor banks- will
accomplish.
Keywords: Capacitor Placement- Genetic Algorithm- Multiobjective Function- Optimization.
Abstract - In this article, we presented the Cascade by Sliding Mode Adjustment (CSMA) applied to a Photovoltaic system (PVS) inter-connected with the three-phase network Low Voltage (LV). The graphic tools Energetic Macroscopic Representation (EMR) and its reverse the Maximum Structure of Control (MSC) are used respectively for the modelling and the controlling of global system. The instantaneous average model and its control obtained, lead to a formed structure of imbricated loops which adapts well to the technique of the cascade adjustment. This structure presents of non linearity; because of the control organ (chopper and/or inverter) it requires a robust law of control. We applied the Sliding Mode Control (SMC), which by nature is non-linear and uses the principle of cascade adjustment. The results of simulation show initially the performances of this type of adjustment, for sudden variations of the sunning and hollow voltage of the network, then the robustness for parametric variations such as the resistor of the line which could change with temperature. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Photovoltaic System (PVS), Modling (EMR), Maximum Structure of Control (MSC), Cascade Adjustment By Sliding Mode (CSMA), MPPT.
Abstract
- Fuzzy rule base systems are of high importance regarding controlling
and classification issues. However, there is a fundamental problem and
that is their rule extraction for problem solving. Various methods have
been reported in order to extract the required rules of these systems so
far. In this paper, a new method has been proposed for rule extraction
required for a fuzzy classification system using Cellular Learning
Automata Based on Evolutionary Computing (CLA-EC) model. CLA-EC model is
an evolutionary algorithm which is a result of the combination of a
cellular learning automata with the concepts mentioned in evolutionary
computing. It has been shown a higher applicability in optimization
fields than CLA and genetic algorithms. Finally, in order to show the
applicability of the proposed method, "Iris" standard database for
testing purposes has been used.
Keywords: Cellular Learning Automata, Evolutionary Computing, Fuzzy Rule Extraction, Fuzzy Classification.
Abstract
- Forecasting the future time series values from the past values plays
important role in daily life. There are some techniques support for time
series analysis such as statistics, Neural Network (NN), Fuzzy Logic
(FL) and fusion NN and FL. However, there is lack of easy, free and
visual tools for users to analysis time series data. In this paper we
try to use Java program language to implement of Fuzzy Logic system
using table lookup scheme to predict time series data. The results of
our experiments show that our tool can give a high accuracy of
prediction results. Since program is written in Java language so it can
run across hardware and software platform and easily embed into website
for user run through Internet.
Keywords: Fuzzy Logic, Fuzzy Rule Base, Hash Map, Prediction, Training, Testing.
Abstract - Solar energy has been accepted as an alternative source of energy worldwide recently. Current researches and markets have shown that Solar Photovoltaic (PV) is the fastest growing and most promising form of renewable energy used in generating electricity. This paper presents an intelligent sun tracking system in which photo-resistors (sensors) are used to determine the direction of the sunlight along with wind sensors to specify the direction of the wind. Due to their high performance and low expense, these sensors have been preferred and used. An algorithm based on fuzzy logic is designed to implement the controlling system considering all the various meteorological conditions. The hardware structure of the system consists of an AVR microcontroller; hence the small size of the whole controlling system. The solar cell is used as the power supply of the controlling system. Finally, an intelligent solar power plant is implemented by means of the techniques mentioned above. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Solar Plant, Fuzzy Logic, AVR Microcontroller, Renewable Energy.
Abstract - This paper presents a lab scale digital controller for precise movement and speed control of a stepper motor. The proposed drive system with the designed controller is simulated using PSIM. The controller circuit is designed and constructed with a PIC16F84A micro-controller together with a translator and a driver. Software tools are developed for the micro-controller for precise positioning and speed control of the motor. Experimental results of the motor are compared with the simulated voltage and current waveforms. The performance of the controller is proved to be excellent as demonstrated by the experimental results obtained on a uni-polar stepper motor. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Digital Control, Micro-Controller, Motor Control, Precision Movement, Stepper Motors.
Abstract - The demands on active magnetic bearings concerning performance as well as costs are high. The proposed five axes active magnetic bearing has a compact design and runs with simplified power electronics. Owing to the nonlinearity of the plant, the use of linear control design methods alone is not suitable for achieving a high operation performance. This paper introduces a novel combined radial and axial position control algorithm. Experimental results demonstrate the effectiveness of the proposed approach. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Active Magnetic Bearing, Modeling, Nonlinear Feedback Control, Multi-Axis Magnetic Bearing.
Abstract - In recent
years, more attention has been given to the active magnet bearing (AMB)
thanks to their low maintenance cost, suitability for clean
environments, and high speed. One of the popular types of AMB’s is the
three-pole type with integrated and separate cores. Some deficiencies of
this type of bearing are its high oscillation, low stability and low
efficiency. This paper seeks to analyze the three-pole AMB’s and
describe their deficiencies and introduce and analyze a new five-pole
AMB. The model thus proposed has lower oscillation as well as more
stability and efficiency. The five-pole AMB has been simulated by a
controller in the presence of disturbance. The results of simulation
demonstrate lower vibration and oscillation in the five-pole AMB in
comparison with the three-pole model.
Keywords: Magnet Bearing, Electromagnetic Force, Solid core, Separate core, Efficiency.
Abstract - This paper presents the fuzzy control of a five fingered robot hand by using the genetic algorithm and TMS320F2812 chip. Because of its high-speed performance, its support for multi-motor control and its low power consumption, TMS320F2812 DSP from TI demonstrates itself as an ideal candidate for the five fingered robot hand. There are five fingers and each finger has three degrees of freedom (DOF). All the actuators and electronics are integrated in the finger body and the palm. This robot has five fingers in which all joints are driven by DC motors. At the same time, the multisensory robot hand integrates position, force/torque and temperature sensors. The fuzzy controller dealing with the level of finger control is a multiple-input-multiple-output (MIMO) fuzzy learning controller and is implemented in AVRs microcontrollers. In this paper, the design of the fuzzy controller is base on the genetic algorithm. The whole weight of the hand is about 1.3Kg and the fingertip force can reach 8N. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Multifinger, Fuzzy Logic, Genetic Algorithm, Hand Robot, DSP.
Abstract - In this
paper we describe a new robotic hand system with master slave
configuration. Bluetooth is being used as the communication channel
between the master and slave for the tele-operation. The master is a
glove that a human operator can wear. The glove has been embedded with
many sensors to detect the movement of every joint present in the hand.
This joint movement is transferred to the slave robotic hand that will
mimic the movement of human operator. The UTHM robotic hand is a multi
fingered dexterous anthropomorphic hand. The hand comprises of five
fingers (four fingers and one thumb) each having four degrees of freedom
(DOF) which can perform flexion, extension, abduction, adduction and
also circumduction. For the actuation purpose, pneumatic muscles and
springs are used. The paper exemplifies the design for the robotic hand.
It also discusses different robotic hands that have been developed
before date.
Keywords: Robotic Hand, Tele-Operation, Glove, Master Slave Configuration, Multi-Fingered Hand, Dexterous Hand, Anthropomorphic Hand, Pneumatic Muscles, Solenoid Valves.
Abstract - This
paper presents hybrid control of nonlinear SISO system, modeled by
several linear models, providing accurate approximation of real system.
Presented control method ensures good control performance in whole
operating range. Derivation of stability between operating points using
Bialas theorem and smooth switching between controllers is included.
Approach is demonstrated in details on example of tank system.
Keywords: Hybrid Control, PID Controller, Tank System, Nonlinear System.
Abstract - In This paper presents a dynamic modeling and simulation of a high speed single shaft micro-turbine generation system for grid connected operation and shows Particle Swarm Optimization algorithm role in improvement of control system operation. The model is developed with the consideration of the main parts including: compressor-turbine, permanent magnet (PM) generator, three phase bridge rectifier and inverter. The simulation results show the capability of Particle Swarm Optimization algorithm for controlling microturbine generation system. The model is developed in Matlab / Simulink. Copyright © 2011 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Distributed Generation, Inverter, Microturbine, Particle Swarm Optimization, PM Generator, Rectifier.
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