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Home>Products>Journal and Reviews>I.RE.A.CO.>Latest issue International Review of Automatic Control (Theory and Applications) - May 2010 - Papers
International Review of Automatic Control - Papers
Abstract - Linear Induction Motors are electromechanical devices that convert electrical energy directly to mechanical energy in the form of linear motion. The simplest method for computing the performances of a single-sided linear induction motor (LIM) is by the use an equivalent circuit. Because of the specific phenomena in LIM’s, the equivalent circuit parameters change with speed and cannot be obtained by standard tests. Duncan’s model ignores the changes of parameters at different operating conditions. To overcome the problems encountered in this model, we use the layer model to obtain Duncan equivalent circuit parameters. The modified model takes into account the special phenomena in linear induction motors such as transverse edge and longitudinal end effects, together with skin effect, saturation and nonlinear magnetic permeability. Then, the results obtained by this model are compared with those calculated by layer model. The used LIM is tested in Canadian Institute of Guided Ground Transportation (CIGGT). Simulation results produced by this analytical technique have a better agreement with the experimental results than those reported in literature. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Linear Induction Machine, End Effects, Layers Method, Equivalent Circuit Parameters.
Abstract - In order to carry out the on-line solving of contingency cases in the energy control centers, the power generators have to be described by means of effectual adaptive models. In addition, the implementation of such models into the high-level software environments should be a straightforward operation for the power system analysts. The present paper puts forward a novel and highly improved structure of induction generators winding flux linkage state-space model, which here incorporates the effects of the main flux path saturation. An algebraic function adapted for on-line estimation of the induction generator magnetizing inductance is received in the paper, assuming that only the values of d-q axis winding flux linkages are available. The renewed consideration of winding flux linkage state-space model of induction generators, derived just by selecting all d-q axis winding flux linkages as state variables, is entirely justified by the fact that the structural simplicity of this model is well-known and intensively exploited with the purpose of dynamic security assessment. The adaptive structure is numerically validated for prediction performance by assessing the dynamic response of an induction generator magnetizing circuit, having in view the typical scenario of switching-in to the effect of the grid-connected operation. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Induction Generator, Saturation, Adaptive Model, Flux Linkage State-Space Model, On-line Estimation, Energy Control Center.
by L. Abdou, S. Chaouch
Abstract - In this paper, we propose an optimization of the Backstepping controller parameters for induction motor control by using a real Genetic Algorithm (GA) based on tournament scheme. Backstepping control is conducted to substitute the conventional PI-controller used into a conventional field-oriented control (FOC) structure for an induction motor to obtain high performance motion control systems, for the speed, flux and currents control loops. Stability analysis based on Lyapunov theory is also performed to guarantee the convergence of the speed tracking error. However the used optimal parameters are often chosen arbitrarily, which may affect the controller quality, and so degrades considerably the performance of the system. To this end, it was necessary to invoke a new optimization algorithm such as the GA, in order to find the best parameters globally optimized. Indeed, the application of the proposed technique has showed an improvement of the results and therefore, the drive system is capable of steadily working in whole speed range from very low to high speeds and also exhibits good dynamic and steady state performance. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Backstepping Control, Genetic Algorithm, Induction Motor, Lyapunov Theory.
Abstract - This paper presents details of how active and reactive power output of a proton-exchange-membrane (PEM) fuel cell system is controlled. This analysis is based on an integrated dynamic model of fuel cell system power generation including a neural network fuel cell stack model of the proton exchange membrane (PEMFC), reformer model and DC/AC inverter model. More then an analytical detail of how active and reactive power output of a proton-exchange-membrane (PEM) fuel cell system is controlled. Furthermore a fuzzy logic (FLC) controller is used to control active power of PEM fuel cell system. The controller modifies the hydrogen flow feedback from the terminal load. The validity of the analysis is verified when the model is used to predict the response of the power change computer-simulated step changes in the load active and reactive power demand. The response curves indicate the load-following characteristics of the model and the predicted changes in the analytical parameters predicated by the analysis. Simulation results confirmed the high performance capability of the fuzzy logic controller to control power generation. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Polymer-Electrolyte Fuel Cell, Dynamic Model, Residential Power, Neural Network Modelling, Fuzzy Logic Controller.
Abstract - This paper proposes a nonlinear control scheme for unified power flow controller (UPFC). The energy function of converters, as an approach, is presented for designing effective nonlinear UPFC controller to promote its dynamic behavior and consequently, improve transient stability of power system. Differential equations of UPFC converters are obtained and then transformed to d-q frame. Considering nonlinearity of transformed equations, UPFC energy function is used to achieve distinguishing view for stability enhancement. The time derivative of Lyapunov function, energy function, demonstrates that increasing its dissipative term will satisfy the UPFC system trajectory return to equilibrium point more quickly. Using this concept, virtually dissipative term is so added to control loop that plays the role of a damper for oscillations of UPFC state variables. Then, there would be a differential term of state variables in control loop that imposes burden on digital simulations. To avoid the problem, again energy function is used to transform nonlinear system to linear one in which, applying state feedback and appropriate pole placement will provide algebraic equivalent for nonlinear differential state variables. Also suitable pole placement in linear system introduces additional stability agent in converters control loop. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Unified Power Flow Controller (UPFC), Transient Stability , Energy Function.
Abstract - In this paper an optimization technique is proposed to find the optimal parameters of Power System Stabilizer (PSS). A simple design method is proposed for the PSS to minimize the maximum overshoot. The optimization is based on a combination of Genetic Algorithm and Particle Swarm Optimization GAPSO aiming to find the optimal parameter set of the stabilizer. In other word, the proposed GAPSO is introduced to identify the parameters of a fixed structure lead compensator through the solution of a min-max problem while satisfying the systems constraints. To robustly design the PSS performance under wide loading conditions, a set of operating points is considered. The designed PSS is applied to a single machine infinite bus system operating at different loading conditions and the results demonstrated the effectiveness of the developed technique. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Genetic Based Particle Swarm Optimization, Power System Stabilizer, Power System Stability, Maximum Overshoot, Setting Time.
Abstract - In this work, we propose a regulation of type RST of the feeding voltage of the shunt active power filter. The regulator RST has the advantage to give more robustness of the regulation towards the outside disturbances than a classic PI regulator. Tests of simulation have been realized to prove the interest of the choice of such a regulator. The obtained results show the improve-ment of the dynamic and static performances of regulation of the feeding voltage of the shunt active power filter. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Shunt active power filter, regulation of the feeding voltage, RST regulator.
Abstract - The use of the supplementary controller of a unified power system flow controller (UPFC) to damp low frequency oscillations in a weakly connected system is investigation. This Paper Present the swarm optimization of the parameters of a UPFC using a Particle-swarm optimization (PSO) Algorithm to enhance the transient stability performance of power system. Computer simulation results on a 2-area 4-machine 12-bus power system with an UPFC installed between buses s and r confirm the efficacy of the new approach in damping the local – mode and inter – area mod of oscillation. The newly designed PSO – based UPFC exhibits better damping performance compared to the genetic algorithm. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Particle-Swarm Optimization (PSO), UPFC, Controller, Genetic Algorithm (GA).
Abstract - The paper deals with modeling and design of hybrid control using HYSDEL modeling language and MTP toolbox for MATLAB, respectively. We decided to use hybrid systems for modeling and predictive control of traffic lights. An intersection composed of 2 two-way streets has been considered. A model has been built describing the evolution of the queue based on number of incoming and outgoing cars and traffic lights. A realistic intersection model has been built and achieving optimal traffic lights control was verified. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: predictive crossroads control, transport system, hybrid control.
Abstract - In this paper a new approach for controlling thermal dose, considering the uncertain biological parameters, is proposed. At first, ignoring uncertainties, an optimal temperature controller has been developed that used minimum amount of energy. Then, considering uncertain biological parameters, an H∞ robust controller is designed that not only decreases the disturbance effect but also determines the admissible maximum bound of plant uncertainties which still can be stabilized by that controller. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Hyperthermia, Distributed Parameter Systems, Parametric Uncertainties, Robust Control, Ultrasound.
Abstract - Trailer systems consist of a steering tractor and a passive trailer linked together with rigid free joint. In this paper, we consider an active kingpin joint which is sliding on the rear axle of the tractor to compensate the off-tracking and jackknife phenomena. The backward and forward motion of the articulated vehicle is modeled in various distinct kinematic phases according to the kind of the path and braking or no condition. The scheme of a switching controller is formalized as a global automaton. The simulation results show an acceptable kinematic behavior of the vehicle and effectiveness in avoiding unstable maneuvers. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Automata, Modeling, Control, Articulated Vehicle.
Abstract - In this paper, an effective technique of hybrid modeling and control are presented. Simple thermal model of Air-handling unit (AHU) is defined in hybrid description language (HYSDEL). AHU model includes continuous dynamics together with discrete rules (if-then-else conditions) and discrete components (on/off switches) represented in unique model structure. Receding horizon optimal control is extended to solve mixed-integer programming problems and is presented as a suitable control scheme for hybrid models. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Hybrid system, explicit control, air-handling unit, receding horizon control.
Abstract - Most of the positioning technologies for modern land vehicular navigation systems have been available for 25 years. The kalman filter has been widely adopted as an optimal estimation tool for the INS/GPS integration, however, several limitations of such multi-sensor integration methodology have been addressed; such as the impact of INS short term errors, INS and GPS error model dependency, prior information dependency, sensor type dependency, and linearization reliance. In this paper, an alternative INS/GPS integration methodology, the conceptual intelligent navigator incorporating adaptive neuro fuzzy inference system was proposed to reduce the limitations of traditional navigators that use the kalman filter approach. The conceptual intelligent navigator used the Wavelet transform technique to estimate INS/GPS error while the ANFIS is utilized to estimate the position and velocity errors. The results obtained demonstrates the reliability of the proposed intelligent navigator to provide accurate navigation solutions for the moving vehicle where the maximum error obtained are 4.5, 2.25, and 4.5 m for position in x, y, and z axis, and 0.5, 0.5, and 0.2 m/s for velocity in north, east, and down direction respectively. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Adaptive Neuro Fuzzy Inference System (ANFIS), Global Positioning System (GPS), Inertial Measurement Unit (IMU), Inertial Navigation System (INS), Integrated System, Wavelet multi-resolution analysis.
Abstract - Mobile robot visual navigation has been the source of many research activities during past 3 decades. Vision is finding more and more importance in control systems and industries. In this paper, we present a new qualitative procedure to navigate through corridors without using or building any map and any a priori information to the robot. There is no sensor apart from a single CCD camera. This method is called “Clustering based navigation”. The vanishing point is determined by clustering of lines with 45° orientation. The robot uses these clusters to perceive the corridor environment and to find an appropriate path of navigation. Special control strategies are developed in order to achieve more accurate navigation process. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Hough Transform, K-Means Clustering, Mapless Navigation, Vanishing Point.
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