It is difficult to control nonlinear systems using a PID controller with fixed gains. Many types of PID controllers with variable gains have been proposed based on advanced control techniques. In this paper, an advanc...
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It is difficult to control nonlinear systems using a PID controller with fixed gains. Many types of PID controllers with variable gains have been proposed based on advanced control techniques. In this paper, an advanced PID controller for nonlinear systems is proposed. Since the nonlinear input/output characteristics can be explained using a set of linear input/output characteristics, we consider that a set of linear system self-tuning PID controllers are used through switching based on signals from the control system. The switching is carried by a neural network based supervisor. This supervisor selects the linearized model which is most accurate for the next step. The effectiveness of this method is investigated through two numerical simulations.
This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia an...
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This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia and friction. So it is difficult to ensure robust performance and high accuracy for motion control. The digital adaptive control system presented here is considered to overcome the above stated problem. Experimental results from a feed drive system demonstrate the effectiveness of the proposed control scheme.
It is well-known that the angle dependent disturbances in a servo motor caused by nonuniformity of field windings, armature cogging, rotor imbalance, nonuniform load etc., may influence the speed control performance g...
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It is well-known that the angle dependent disturbances in a servo motor caused by nonuniformity of field windings, armature cogging, rotor imbalance, nonuniform load etc., may influence the speed control performance greatly. This often leads to large speed fluctuations which are undesired in practical situations. Therefore speed fluctuation reduction techniques in the presence of angle dependent disturbances are strongly required and have been being challenged by a lot of researchers. In this paper, the authors propose a new approach to this problem via adaptive control with the aid of a radial basis function (RBF) network composed of gaussian basis functions. The angle dependent disturbances which are viewed as a periodic nonlinear function with a period of 2π[rad] in the angle-domain, is approximated by a RBF network in the domain of [0, 2π)[rad]. Then an adaptive linearization control system employing the RBF network which compensates the disturbances is proposed. The RBF network has the advantage that it is linear-in-parameter and hence the parameter adaption is very fast and easy to implement. It is proved through theoretical analysis that the stability of the adaptive control is guaranteed by the Lyapunov stability theory. Finally, simulational and experimental results are included in the paper to show the excellent performance of the proposed method.
作者:
Milanovic, JV[?]Jovica V. Milanovic (1967) received the Dipl.-Ing. (Elec.) and M.Sc. (Elec. Eng.) degrees from the University of Belgrade. Yugoslavia. in 1987 and I99 I
respectively. One year he worked with “Energoproject-MDD”- Engineering and Contracting Co. in Belgrade as an engineer in designing power plants and substations. In late 1988 hejoined the Faculty of Electrical Engineering of the University of Belgrade first as an associate teaching assistant and then (since late 199 I) as teaching assistant at the Dept. of Power Converters and Drives. Between March 1993 and January 1996 he completed his Ph.D. at the University of Newcastle. Australia. at the Dept. of Electrical and Computer Engineering. Since February 1996 he is lecturer at the Department of Electrical Engineering and Computer Science at the University of Tasmania Austnlia. His major interests include synchronous machines and power system transients control and stability. (The University of Tasmania. Dept. of Electrical Engineering and Computer Science GPO Box 252-65 Hobart Tas 7001 Australia.Te1+61 362/262-753 Fax+61 369/262 136. e-mail: Jovica.Milanovic@eecs.utas.edu.au)
The paper presents the overview of load modelling for power-system damping and stability studies with main conclusions summarized from previous research. The attempt has been made to present a cross-section of the mos...
The paper presents the overview of load modelling for power-system damping and stability studies with main conclusions summarized from previous research. The attempt has been made to present a cross-section of the most exploited existing load models together with the most important conclusions drawn from their implementation in power-system stability programs. The current trends and latest results in the domain of damping of electromechanical oscillations in power systems are also presented. The effects of load dynamics on damping of electromechanical oscillations were analyzed on the basis of one of generic load models proposed in the past. The recent results further encourage investigation in this area and highlights the importance of proper load modelling.
Emission mechanisms of the device-quality quantum well (QW) structure and bulk three dimensional (3D) InGaN materials grown on sapphire substrates without any epitaxial lateral overgrown GaN (ELOG) base layers were in...
Emission mechanisms of the device-quality quantum well (QW) structure and bulk three dimensional (3D) InGaN materials grown on sapphire substrates without any epitaxial lateral overgrown GaN (ELOG) base layers were investigated. The InxGx1−xN layers showed various degree of spatial potential (bandgap) fluctuation, which is probably due to a compositional inhomogeneity or monolayer thickness fluctuation produced by some kinetic driving forces initiated by the threading dislocations (TDs) or growth steps during the growth. The degree of fluctuation changed remarkably around nominal InN molar fraction x=0.2, which changes to nearly 8–10 % for the strained InxGa1−xN. This potential fluctuation induces energy tail states both in QW and 3D InGaN, showing a large Stokes-like shift combined with the red shift due to quantum confined Stark effect (QCSE) induced by the piezoelectric field. The spontaneous emission from undoped InGaN single quantum well (SQW) light-emitting diodes (LED’s), undoped 3D double heterostructure (DH) LED’s, and multiple quantum well (MQW) laser diode (LD) wafers was assigned as being due to the recombination of excitons localized at the potential minima, whose area was determined by cathodoluminescence (CL) mapping to vary from less than 60 nm to 300 nm in lateral size in the case of QW’s. The lasing mechanisms of the cw In0.15Gao.85N MQW LD’s having small potential fluctuation, whose bandgap broadenings are less than about 50 meV, can be described by the well-known electron-hole-plasma (EIHP) picture with Coulomb enhancement. The inhomogenous MQW LD’s are considered to lase by EHP in segmented QW’s or Q-disks. It is desirable to use entire QW planes with small potential inhomogeneity as gain media for higher performance LD operation.
For the estimation of average bit error rate (BER) of complex digital communicationsystems, Monte-Carlo (MC) simulation technique has been widely used because of its simplicity. However, it requires excessively long ...
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ISBN:
(纸本)0780339258
For the estimation of average bit error rate (BER) of complex digital communicationsystems, Monte-Carlo (MC) simulation technique has been widely used because of its simplicity. However, it requires excessively long execution time to estimate lower BER. Although this time can substantially be reduced by using importance sampling (IS), IS has not been quite successful in the simulation of practical nonlinear satellite communicationsystems that typically consist of memory components and forward error correction (FEC) scheme. In this paper, we propose a new algorithm for the simulation of Viterbi decoder using sequentially implemented IS. We then combine it with the efficient importance sampling (EIS) technique to resolve the problems associated with memory. Results from this integration exhibit dramatic reduction of simulation time. Principles of the new simulation method of Viterbi decoding are presented. Details on the integration with EIS are followed with some numerical examples.
A robust adaptive sliding mode controller is proposed in this paper for trajectory tracking in rigid robotic manipulators. This controller contains two components: one is for estimation of the constant part of system ...
A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structure...
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A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structures, provides designers with an immediate assessment of the impacts of their decisions on several disciplines which are important to the performance of a modern naval topside structure, including electromagnetic interference effects (EMI), radar cross section (RCS), structural integrity, cost, and weight. Preliminary analysis modules in each of these disciplines are integrated to operate from a common set of design variables and a common materials database. Performance in each discipline and an overall fitness function for the concept are then evaluated. A graphical user interface (GUI) is used to define requirements and to display the results from the technical analysis modules. Optimization techniques, including feasible sequential quadratic programming (FSQP) and exhaustive search are used to modify the design variables to satisfy all requirements simultaneously. The development of this tool, the technical modules, and their integration are discussed noting the decisions and compromises required to develop and integrate the modules into a prototype conceptual design tool.
The effective dielectric constant epsilon(eff) of a medium containing randomly distributed dielectric particles has been analysed by conventional methods: Foldy's approximation, the quasi-crystalline approximation...
The effective dielectric constant epsilon(eff) of a medium containing randomly distributed dielectric particles has been analysed by conventional methods: Foldy's approximation, the quasi-crystalline approximation (QCA) and the QCA with coherent potential. These conventional methods, however, have been indicated to become invalid for particles with a high dielectric constant;we have thus presented a new method that is valid for them. This paper compares epsilon(eff) of our method with those of the conventional methods by changing the volume fraction and the dielectric constant of spheres. As a result, our method is shown to be more powerful for the analysis of epsilon(eff) than the conventional methods.
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