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Home>Products>Journal and Reviews>I.RE.A.CO.>Latest issue International Review of Automatic Control (Theory and Applications) - March 2009 - Papers
International Review of Automatic Control - Papers
Vol. 2. n. 2, pp. 128-138
Abstract - The work presented in this paper investigates an output tracking for single-input control affine systems from a geometric perspective. Non-minimum phase difficulties prevent the use of input–output feedback linearization. This paper is concerned with the problem of global asymptotical tracking of single-input single-output nonlinear control systems. Based on the input–output feedback linearization technique and a Lyapunov method for a nonlinear feedback synthesis, a globally asymptotical output tracking controller design methodology for a broad class of nonlinear non-minimum phase control systems is developed. The performance and efficiency of the presented approach is studied on a third order nonlinear model of a Continuous Stirred Tank Reactor CSTR. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Trajectory tracking, Feedback linearization, Non-minimum phase systems, Zero dynamics, Lyapunov theory, Guaranteed stability region.
by M. Mrabet , F. Fnaiech, K. Al-Haddad Vol. 2. n. 2, pp. 139-148
Abstract - This paper deals with a model reference adaptive predictive control algorithm used for a general nonlinear system. The novelty of the proposed algorithm is that the nonlinear system is linearized using exact feedback linearization technique and the model reference adaptive control is used to overcome the uncertainties and variation of the system parameters. The algorithm is shown to be robust and easy to be applied to MIMO system. The convergence analysis of the proposed new technique is also treated in details. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Nonlinear systems, Predictive control, Adaptive control, Feedback systems.
Vol. 2. n. 2, pp. 149-153
Abstract - A Variable Structure Model Reference Adaptive Controller using state variables is proposed for multi input–multi output systems. An ideal reference system with fixed properties is used as the reference model, and the active system with paramrter uncertainties is forced to attain the same behavior as the reference model. Adaptation law is of variable structure type and switching functions are designed based on stability requirements. Global exponential stability is proved based on Lyapunov criterion. Transient behavior is analyzed using sliding mode control and shows perfect model following at a finite time. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Adaptive control, MIMO system, Model reference, Variable structure.
Vol. 2. n. 2, pp. 154-162
Abstract - The subsynchronous resonance (SSR) is a potential problem in power systems having a steam turbine-generator connected to a series compensated transmission line. Flexible ac transmission systems (FACTS) controllers are widely applied to mitigate SSR. One of these FACTS controllers is the gate-controlled series capacitor (GCSC). The main purpose of this paper is to present a new Takagi-Sugeno (TS)-type fuzzy logic controller for a GCSC to damp SSR and power oscillation. The study system was modified from the First IEEE SSR Benchmark Model by changing a part of the fixed series capacitor to the GCSC. The actual possibility of damping SSR and electromechanical power oscillation by this controller was verified by MATLAB program. In order to investigate how effective the proposed TS fuzzy controlled GCSC is, its performance is compared with that of proportional (P) controlled GCSC presented in the literature. Furthermore, a comparative study between TS fuzzy controlled GCSC and proportional-integral (PI) controlled static synchronous series compensator (SSSC) is carried out showing that the performance of fuzzy controlled GCSC is better than that of PI controlled SSSC, in SSR damping. Finally, it is concluded that the proposed TS fuzzy controlled GCSC provides a very cost effective means of SSR and power oscillation damping in power systems. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: SSR, FACTS, GCSC, Fuzzy logic controller.
Vol. 2. n. 2, pp. 163-169
Abstract - In this paper, first the state space equations of the dynamic model of a multi- machine power system, near the operating point, are clarified. Then, by using sensitivity analysis, the relation between the system states and the oscillatory modes is considered. Identifying states with a larger effect on the unstable modes, machines that need to have stabilizers are specified. Local controllers for machines that need to have stabilizers have been designed using a new method. Simulation results for a four-machine power system are given and compared with a well-known method, LOC, to show the effectiveness of the proposed method. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Stabilizer, Closed-loop sensitivity function, Participation matrix, H∞, LOC.
Vol. 2. n. 2, pp. 170-182
Abstract - The quality of the electric power produced, transported and distributed did not cease being a major concern for the operators and the manipulators of electricity [1]. Several disturbances of various natures are at the origin of instabilities of the electrical supply networks [2]. Among the disturbing phenomena, we quote the unbalance voltage of which we were interested by proposing an adequate command and control of a Permanent Magnet Synchronous Machine (PMSM) when this one output on the network. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Unbalanced Grid, (PMSM), conversion system, Point of Power Connection (PPC), Positive Sequence, Negative Sequence, (PLL), (PNH), (GC), (SC), DC Link, (PSRF), (NSRF).
Vol. 2. n. 2, pp. 183-188
Abstract - In this paper, a neural networks control of a high frequency inverter used in an induction-heating cooking application is proposed. Two control methods for the stabilization of the inductor current are applied to the high frequency inverter and compared according to their robustness: the conventional proportional-integral controller and the Neural Networks control. The FLUX 2D software to solve the electromagnetic equations and compute the electromagnetic parameters of the system is used. The simulation results show that neural network method is more robust than the conventional proportional-integral controller. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Induction-heating cooking, Finite Element Method, Neural Networks.
Vol. 2. n. 2, pp. 189-196
Abstract - Efficiency and regeneration capabilities of modern electric drives have become very important features for variable speed drive applications. Regenerative electric drives are therefore usually equipped with cost-intensive pulsed active front end topologies for the energy recovery mode. On the contrary, the much less expensive fundamental frequency switched front end is used. It has no electrolytic capacitor with its limiting effect on the operating temperature and lifetime. In addition to the converter topology, the used squirrel cage induction or alternatively the permanent magnet based machine provides different advantages with respect to the efficiency/torque characteristic of variable speed drives. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Electrical drive, Energy efficiency, Converter topology, Electric machine.
Vol. 2. n. 2, pp. 197-204
Abstract - In this paper we illustrate a power control approach of a doubly fed induction generator, operating in a variable speed wind energy conversion system. The aim of the control consists in maximising the electric power extracted from the wind turbine and injected to the grid, thus, by adjusting the power coefficient. The use of a variable speed wind energy conversion system permits the implementation of such a kind of strategies. The stator power and the terminal voltage are to be maintained to references that will be given while the control of the global dynamic system, this by adjusting rotor voltages. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: DFIG, Variable speed, Wind energy, Power control, Terminal voltage control.
Vol. 2. n. 2, pp. 205-212
Abstract - The aim of this paper is to present firstly the functionality of a supervisory system for complex processes, and secondly to present the concepts of SCADA (supervisory control and data acquisition) systems. Our contribution consists on applying a Functional Analysis (FA) technique SADT (Structured Analysis and Design Technique) on an example of a SCADA system of a thermal power plant (TPP). This technique allows a functional description of a SCADA system. The paper briefly discusses the functions of a SCADA system and some advantages of the application of FA for the design of a human centered supervisory system. Then the basic principles of the SADT technique applied on the SCADA system are presented. Finally, the different results obtained from the SADT technique are discussed. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Supervisory system; SCADA; Functional Analysis, SADT; Thermal power plant.
Vol. 2. n. 2, pp. 212-222
Abstract - Modern automobile engines must satisfy the challenging and often conflicting goals of minimizing exhaust emissions, providing increased fuel economy and satisfying driver performance requirements over a wide range of operating conditions. An innovative mechanical design approach to achieve these goals has been the development of variable compression ratio (VCR) engines. A challenge with this new engine design is that the compression ratio has a direct influence on the output torque. This is a problem because the engine driver can feel it as a jerk in the movement. Therefore, in order to fully take the advantage of benefits of this engine design it is necessary to have some sort of torque control that can keep a constant torque regardless of changes in compression ratio. In this work a control-oriented engine model is developed to represent a variable compression ratio engine over a range of operating conditions. The model is validated with some available experimental data. Based on the mode, a robust PID controller is optimally designed to control the output torque for the step changes of compression ratio in the presence of parametric uncertainties. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: VCR engine, Torque modeling, Robust control, Multi-objective optimization.
Vol. 2. n. 2, pp. 223-228
Abstract - This paper deals with the comparison between two non-conventional optimization methods which are genetic algorithms and a new based particle swarm optimization one for multiobjective flow-shop scheduling problem resolution, in pharmaceutical industries. Results obtained by the comparison of these methods show the efficiency of the proposed based particle swarm optimization method. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Based Particle Swarm Optimization (BPSO), Genetic Algorithm (GA), Multiobjective flow-shop scheduling problem, Particle Swarm Optimization (PSO), Pharmaceutical industries.
Vol. 2. n. 2, pp. 229-234
Abstract - The cereal transaction is conditioned by the quality of cereals determining the price of the transaction (purchase or sale). Due to the disparity of the cereal quality in terms of diverse manipulated batches, the stability of the product delivered by the wholesaler and destined to the first transformer is fluctuating and hence affecting the quality of the consumer’s final product. With regards to the importance of the cereal sector in Tunisia, and within the context of valorization of the Cereal Office, we were committed to study the management of stock mobility with the intention of reducing disparity in delivered cereal quality through the use of blending techniques (mixture of many batches of cereals of similar nature with different proportions). In this paper, we apply both Genetic Algorithm and Fuzzy Logic in order to optimize the quality of the mixed product. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved
Keywords: Genetic Algorithm, Fuzzy logic, Classification of the quality, Fuzzy rule.
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