Xem 1-20 trên 439 kết quả Design of control systems
  • The best-selling guide to the design of control systems for the fluid process industries is now updated and expanded. Emphasizing performance-based design and tuning, the new edition of the best-selling guide to process control provides engineers with reliable coverage of control technology principles for industrial fluid processes - from basic theory to advanced control applications.

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  • Ebook "Analysis and design of Control Systems Using Matlab" give you the knowledge: Matlab Tutorial, Matlab Basics, Introduction to Control Systems,... Invite you to refer to the ebook content more learning materials and research.

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  • Lecture "Fundamentals of control systems - Chapter 6: Design pff continuous control systems" presentation of content: Introduction, effect of controllers on systems performance, control systems design using the root locus method,... Invite you to reference.

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  • Lecture "Fundamentals of control systems - Chapter 9: Design of discrete control systems" presentation of content: Introduction, discrete lead - lag compensator and PID controller, design discrete systems in the Z domain,.... Invite you to reference.

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  • Lecture Control system design: Feedback control system characteristics presents the following content: Error signal analysis, sensitivity of control systems to parameter variations, disturbance signals in a feedback control system, control of the transient response, steady – state error, the cost of feedback, control system characteristics using control design software.

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  • This chapter include all of the following content: Mapping contours in the s – plane, the nyquist criterio, relative stability and the nyquist criterion, time – domain performance criteria in the frequency domain, system bandwidth, the stability of control systems with time delays, pid controllers in the frequency domain, stability in the frequency domain using control design software.

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  • The current control problems present natural trend of increasing its complexity due to performance criteria that is becoming more sophisticated. The necessity of practicers and engineers in dealing with complex dynamic systems has motivated the design of controllers, whose structures are based on multiobjective constraints, knowledge from expert, uncertainties, nonlinearities, parameters that vary with time, time delay conditions, multivariable systems, and others.

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  • The current control problems present natural trend of increasing its complexity due to performance criteria that is becoming more sophisticated. The necessity of practicers and engineers in dealing with complex dynamic systems has motivated the design of controllers, whose structures are based on multiobjective constraints, knowledge from expert, uncertainties, nonlinearities, parameters that vary with time, time delay conditions, multivariable systems, and others.

    pdf0p aries23 29-09-2012 35 9   Download

  • A systematic control design methodology is introduced for multi-input/multi-output stable open loop plants with multiple saturations. This new methodology is a substantial improvement over previous heuristic single-input/single-output approaches. The idea is to introduce a supervisor loop so that when the references and/or disturbances are sufficiently small, the control system operates linearly as designed.

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  • Lecture Control system design: Mathematical models of systems presents the following content: Differential equations of physical systems, linear approximations of physical systems, the laplace transform, the transfer function of linear systems, block diagram models, signal – flow graph models, the simulation of systems using control design software.

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  • Lecture Control system design include all of the following content: Mathematical models of systems, state variable models, feedback control system characteristics, the performance of feedback control systems, the stability of linear feedback systems, the root locus method,...

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  • This chapter presents the following content: Test input signals, performance of second – order systems, effects of a third pole & a zero on the second – order system response, the s – plane root location & the transient response, the steady – state error of feedback control systems, performance indices, the simplification of linear systems, system performance using control design software.

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  • Lecture Control system design: The stability of linear feedback systems include all of the following content: The concept of stability, the Routh – Hurwitz stability criterion, the stability of state variable systems, system stability using control design software.

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  • Today’s control system designers face an ever-increasing “need for speed” and accuracy in their system measurements and computations. New design approaches using microcontrollers and DSP are emerging, and designers must understand these new approaches, the tools available, and how best to apply them. This practical text covers the latest techniques in microcontroller-based control system design, making use of the popular MSP430 microcontroller from Texas Instruments.

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  • The rapid increase in the price of crude oil in recent years (as of 2005) and the resulting“sticker shock” at the gas pump have caused the scientific and engineering communitiesto finally understand that it is time for some reality checks on our priorities. Energyis the real problem that faces the world, and it will not be solved by the recent fads ofbiotechnology or nanotechnology. Energy consumption is the main producer of carbondioxide, so it is directly linked with the problem of global warming.

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  • This series presents books that draw on expertise from both the academic world and the applications domains, and will be useful not only as academically recommended course texts but also as handbooks for practitioners in many applications domains.Linear Control System Analysis and Design with MATLAB is another outstanding entry in Dekker’s Control Engineering series.

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  • The vital condition for the practical applicability of any control system is that its basic characteristics are invariant to variations of its constituent parameters and to external disturbances, at least in some well-defined range. This is considered as Robustness, and the design of control systems with prescribed performance and stability limits is the subject of Robust Control.

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  • This volume is devoted to the study of feedback control of so-calledlinear plant/nonlinear instrumentation(LPNI) systems. Such systems appear naturally in situations where the plant can be viewed as linear but the instrumentation, that is, actuators and sensors, can not.

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  • PID controllers are probably the most commonly used controller structures in industry. They do, however, present some challenges to control and instrumentation engineers in the aspect of tuning of the gains required for stability and good transient performance. There are several prescriptive rules used in PID tuning. An example is that proposed by Ziegler and Nichols in the 1940's and described in this note.

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  • This chapter presents the following content: The state variables of a dynamic system, the state differential equation, signal – flow graph & block diagram models, alternative signal – flow graph & block diagram models, the transfer function from the state equation,...

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