Description
Taylor & Francis Ltd Essentials Of Control Techniques And Theory 2009 Edition by John Billingsley
Carefully separating the essential from the ornamental, Essentials of Control Techniques and Theory presents the nuts and bolts for designing a successful controller. It discusses the theory required to support the art of designing a working controller as well as the various aspects to convince a client, employer, or examiner of your expertise.A Compelling Account of the Basics of Control TheoryControl solutions for practicing engineersUsing the author's own Javascript On-Line Learning Interactive Environment for Simulation (Jollies), the text relies on computer-based graphical analysis methods, such as Nyquist, Nichols, root locus, and phase-plane, to illustrate how useful computer simulation can be for analyzing both linear and nonlinear systems. It explains step-by-step the design and modeling of various control systems, including discrete time systems and an inverted pendulum. Along with offering many web-based simulations, the book shows how mathematics, such as vectors, matrices, and the differential equations that govern state variables, can help us understand the concepts that underpin the controller's effects. From frequency domain analysis to time-domain state-space representation, this book covers many aspects of classical and modern control theory. It presents important methods for designing and analyzing linear systems and controllers. ESSENTIALS OF CONTROL TECHNIQUES-WHAT YOU NEED TO KNOWIntroduction: Control in a Nutshell, History, Theory, Art, and PracticeThe Origins of ControlEarly Days of FeedbackThe Origins of SimulationDiscrete Time Modeling TimeIntroductionA Simple SystemSimulationChoosing a Computing PlatformAn Alternative PlatformSolving the First Order EquationA Second Order ProblemMatrix State EquationsAnalog SimulationClosed Loop EquationsSimulation with JavaScript "On-Line Learning Interactive Environment for Simulation" (Jollies)IntroductionHow a Javascript On-Line Learning Interactive Environment for Simulation (Jollies) Is Made UpMoving Images without an AppletA Generic SimulationPractical Control SystemsIntroductionThe Nature of SensorsVelocity and AccelerationOutput TransducersA Control ExperimentAdding ControlIntroductionVector State EquationsFeedbackAnother ApproachA Change of VariablesSystems with Time Delay and the PID ControllerSimulating the Water Heater ExperimentSystems with Real Components and Saturating Signals-Use of the Phase PlaneAn Early Glimpse of Pole AssignmentThe Effect of SaturationMeet the Phase PlanePhase Plane for Saturating DriveBang-Bang Control and Sliding ModeFrequency Domain MethodsIntroductionSine-Wave FundamentalsComplex AmplitudesMore Complex Still-Complex FrequenciesEigenfunctions and GainA Surfeit of FeedbackPoles and PolynomialsComplex ManipulationsDecibels and OctavesFrequency Plots and CompensatorsSecond Order ResponsesExcited PolesDiscrete Time Systems and Computer ControlIntroductionState TransitionDiscrete Time State Equations and FeedbackSolving Discrete Time EquationsMatrices and EigenvectorsEigenvalues and Continuous Time EquationsSimulation of a Discrete Time SystemA Practical Example of Discrete Time ControlAnd There's MoreControllers with Added Dynamics Controlling an Inverted PendulumDeriving the State EquationsSimulating the PendulumAdding RealityA Better Choice of PolesIncreasing the RealismTuning the Feedback PragmaticallyConstrained DemandIn ConclusionESSENTIALS OF CONTROL THEORY-WHAT YOU OUGHT TO KNOWMore Frequency Domain Background TheoryIntroductionComplex Planes and MappingsThe Cauchy-Riemann EquationsComplex IntegrationDifferential Equations and the Laplace TransformThe Fourier TransformMore Frequency Domain MethodsIntroductionThe Nyquist PlotNyquist with M-CirclesSoftware for Computing the DiagramsThe "Curly-Squares" PlotCompleting the MappingNyquist SummaryThe Nichols ChartThe Inverse-Nyquist DiagramSummary of Experimental MethodsThe Root LocusIntroduction Root Locus and Mappings A Root Locus PlotPlotting with Poles and ZeroesPoles and PolynomialsCompensators and Other ExamplesConclusionsFashionable Topics in ControlIntroductionAdaptive ControlOptimal ControlBang-Bang, Variable Structure, and Fuzzy ControlNeural NetsHeuristic and Genetic AlgorithmsRobust Control and H-infinityThe Describing FunctionLyapunov MethodsConclusionLinking the Time and Frequency DomainsIntroductionState-Space and Transfer FunctionsDeriving the Transfer Function MatrixTransfer Functions and Time ResponsesFilters in SoftwareSoftware Filters for DataState Equations in the Companion FormTime, Frequency, and ConvolutionDelays and the Unit ImpulseThe Convolution IntegralFinite Impulse Response FiltersCorrelationConclusionMore about Time and State EquationsIntroductionJuggling the MatricesEigenvectors and Eigenvalues RevisitedSplitting a System into Independent SubsystemsRepeated RootsControllability and ObservabilityPractical Observers, Feedback with DynamicsIntroductionThe Kalman FilterReduced-State ObserversControl with Added DynamicsConclusionDigital Control in More DetailIntroductionFinite Differences-The Beta-OperatorMeet the z-TransformTrains of ImpulsesSome Properties of the z-TransformInitial and Final Value TheoremsDead-Beat ResponseDiscrete-Time ObserversRelationship between z- and Other TransformsIntroductionThe Impulse ModulatorCascading TransformsTables of TransformsThe Beta and w TransformsDesign Methods for Computer ControlIntroductionThe Digital-to-Analog Convertor (DAC) as Zero Order HoldQuantizationA Position Control Example, Discrete Time Root LocusDiscrete Time Dynamic Control-Assessing PerformanceErrors and NoiseDisturbancesPractical Design ConsiderationsDelays and Sample RatesConclusionOptimal Control-Nothing but the BestIntroduction: The End Point ProblemDynamic ProgrammingOptimal Control of a Linear SystemTime Optimal Control of a Second Order SystemOptimal or Suboptimal?Quadratic Cost FunctionsIn ConclusionIndex