Real-Time Digital Signal Processing

Real-Time Digital Signal Processing

Author: Sen M. Kuo

Publisher: John Wiley & Sons

Published: 2006-05-01

Total Pages: 666

ISBN-13: 047003551X

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Real-time Digital Signal Processing: Implementations and Applications has been completely updated and revised for the 2nd edition and remains the only book on DSP to provide an overview of DSP theory and programming with hands-on experiments using MATLAB, C and the newest fixed-point processors from Texas Instruments (TI).


Discrete-Time Control System Design with Applications

Discrete-Time Control System Design with Applications

Author: C.A. Rabbath

Publisher: Springer Science & Business Media

Published: 2013-12-02

Total Pages: 181

ISBN-13: 1461492904

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This unique book provides a bridge between digital control theory and vehicle guidance and control practice. It presents practical techniques of digital redesign and direct discrete-time design suitable for a real-time implementation of controllers and guidance laws at multiple rates and with and computational techniques. The theory of digital control is given as theorems, lemmas, and propositions. The design of the digital guidance and control systems is illustrated by means of step-by-step procedures, algorithms, and case studies. The systems proposed are applied to realistic models of unmanned systems and missiles, and digital implementation.


Digital Control Systems

Digital Control Systems

Author: Ioan Doré Landau

Publisher: Springer Science & Business Media

Published: 2007-05-11

Total Pages: 497

ISBN-13: 1846280567

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The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems. Their performance and their low cost make them suitable for use in control systems of various kinds which demand far better capabilities and performances than those provided by analog controllers. However, in order really to take advantage of the capabilities of microprocessors, it is not enough to reproduce the behavior of analog (PID) controllers. One needs to implement specific and high-performance model based control techniques developed for computer-controlled systems (techniques that have been extensively tested in practice). In this context identification of a plant dynamic model from data is a fundamental step in the design of the control system. The book takes into account the fact that the association of books with software and on-line material is radically changing the teaching methods of the control discipline. Despite its interactive character, computer-aided control design software requires the understanding of a number of concepts in order to be used efficiently. The use of software for illustrating the various concepts and algorithms helps understanding and rapidly gives a feeling of the various phenomena.


Applied Optimal Control & Estimation

Applied Optimal Control & Estimation

Author: Frank L. Lewis

Publisher:

Published: 1992

Total Pages: 664

ISBN-13:

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This book covers optimal design for multi-input/multi-output (MIMO) systems, providing not only the theoretical background, but also practical implementation techniques for control and estimation algorithms. Real-time implementation methods for a wide range of industries and control problems are detailed, including control of computer disk drives, chemical process control, and aircraft control. The book puts modern control design tools - based on solving matrix equation - well within the reach of the individual design engineer. You'll see how to design control systems using software programs, simulate these controllers on digital controllers, and then implement digital controllers on actual processors using digital signal processors (DSPs). Appropriate


Real-Time Digital Signal Processing,

Real-Time Digital Signal Processing,

Author: Sen M. Kuo

Publisher: Wiley-Blackwell

Published: 2001

Total Pages: 520

ISBN-13:

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Introduction to Real-Time Digital Signal Processing - Introduction to TMS320C55x Digital Signal Processor - DSP Fundamentals and Implementation Considerations - Frequency Analysis - Design and Implementation of FIR Filters - Design and Implementation of IIR Filters - Fast Fourier Transform and Its Applications - Adaptive Filtering - Practical DSP Applications in Communications.


Implementation of Digital Control Algorithm for Motor Control Using Digital Signal Processor

Implementation of Digital Control Algorithm for Motor Control Using Digital Signal Processor

Author: N. B. Mariun

Publisher:

Published: 1998

Total Pages: 6

ISBN-13:

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Digital control algorithms based on discrete-time control model that is implemented using Digital Signal Processors (DSPs) is currently being widely used to realize high performance and complex control applications requiring real-time processing such as motor control[1]. Most controllers are already designed or will be designed using the continuous-time control model. This gives a problem of implementing a digital controller based on analog controller design. The effective approximation of discrete-time systems from continuous-time systems depends on the required characteristics of the controlled process that needs to be compensated and controlled. This paper outlines the implementation of digital control algorithms by approximating discrete-time controller models from continuous-time controller models for motor control using DSP. [Authors' abstract].


Code Generation for Fast DSP-Based Real-Time Control

Code Generation for Fast DSP-Based Real-Time Control

Author: H. Henrichfreise

Publisher:

Published: 1991

Total Pages: 9

ISBN-13:

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Digital single-chip signal processors (DSP) are powerful devices to implement closed-loop controllers for highly dynamic mechanisms. Code production is however not that easy, particularly with DSP offering only fixed-point arithmetic. This paper describes key issues and a toolset which builds on automatic code generation to complement existing control design tools so as to close the gap between design and implementation or experiment.