Modeling, Analysis, and Control of Dynamic SystemsAn integrated presentation of both classical and modern methods of systems modeling, response and control. Includes coverage of digital control systems. Details sample data systems and digital control. Provides numerical methods for the solution of differential equations. Gives in-depth information on the modeling of physical systems and central hardware. |
Contents
CHAPTER ONE INTRODUCTION | 1 |
CHAPTER TWO MODELING OF DYNAMIC | 33 |
CHAPTER THREE ANALYSIS | 125 |
Copyright | |
13 other sections not shown
Common terms and phrases
a₁ algorithm amplitude analog analysis angle applied approximation Assume behavior block diagram Bode plots C₁ C₂ capacitance Chapter characteristic equation circuit closed-loop coefficient compensator complex Consider constant continuous-time control law control system criterion damping ratio derivative determined difference equation differential equation discrete-time displacement dynamics eigenvalues elements equilibrium error Euler method example feedback filter first-order flow rate fluid force free response frequency gain given gives inertia initial conditions integral K₁ Laplace transform linear model loop magnitude mass matrix method motor nonlinear obtain open-loop output overshoot parameter phase PI control pneumatic polynomial pressure problem proportional control R₁ relation resistance root locus sampling second-order Section shown in Figure signal solution specifications stable steady-state step input step response system shown T₁ tank Taylor series techniques temperature torque transfer function unit step valve variable vector velocity voltage z transform zero