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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Optimal Reference Shaping for Dynamical Systems - Theory and Applications (Paperback)
Loot Price: R2,056
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Optimal Reference Shaping for Dynamical Systems - Theory and Applications (Paperback)
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Integrating feedforward control with feedback control can
significantly improve the performance of control systems compared
to using feedback control alone. Focusing on feedforward control
techniques, Optimal Reference Shaping for Dynamical Systems: Theory
and Applications lucidly covers the various algorithms for
attenuating residual oscillations that are excited by reference
inputs to dynamical systems. The reference shaping techniques
presented in the book require the system to be stable or marginally
stable, including systems where feedback control has been used to
stabilize the system. Illustrates Techniques through Benchmark
Problems After developing models for applications in which the
dynamics are dominated by lightly damped poles, the book describes
the time-delay filter (input shaper) design technique and reviews
the calculus of variations. It then focuses on four control
problems: time-optimal, fuel/time-optimal, fuel limited
time-optimal, and jerk limited time-optimal control. The author
explains how the minimax optimization problem can help in the
design of robust time-delay filters and explores the
input-constrained design of open-loop control profiles that account
for friction in the design of point-to-point control profiles. The
final chapter presents numerical techniques for solving the problem
of designing shaped inputs. Supplying MATLAB (R) code and a suite
of real-world problems, this book provides a rigorous yet
accessible presentation of the theory and numerical techniques used
to shape control system inputs for achieving precise control when
modeling uncertainties exist. It includes up-to-date techniques for
the design of command-shaped profiles for precise, robust, and
rapid point-to-point control of underdamped systems.
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