Nonlinear model predictive control of combustion engines / / Thivaharan Albin Rajasingham

• Autore: Rajasingham Thivaharan Albin
• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (336 pages)
• Disciplina: 621.43
• Soggetto topico: Internal combustion engines; Predictive control
• Nota di contenuto: Intro -- AIC Series Editors' Foreword -- Preface -- Scope of the Book -- Origin of the Book -- Acknowledgments -- Contents -- 1 Introduction -- 1.1 Motivation to Improve Engine Performance -- 1.2 Improving the Engine Performance by Advanced Control -- 1.3 Control Algorithms for Engine Control -- 1.4 Introduction to Model Predictive Control -- 1.4.1 Formulation of the Optimization Problem -- 1.4.2 Control-Oriented Modeling -- 1.4.3 Numerical Optimization -- 1.5 Aims and Outline of the Book -- References -- 2 Model-Based Approach with PID Controllers -- 2.1 Multiple-Input Multiple-Output Systems -- 2.1.1 Introduction to MIMO Systems -- 2.1.2 Relative Gain Array -- 2.1.3 System Decoupling -- 2.2 Actuator Constraints -- 2.2.1 Integrator Windup -- 2.2.2 Directionality in Constrained MIMO Systems -- 2.3 Control Approach Based on Look-Up Tables -- References -- 3 Mathematical Fundamentals of Optimization -- 3.1 Introduction to Optimization Problems -- 3.2 Convex Optimization Problems -- 3.3 Classes of Optimization Problems -- 3.3.1 Dynamic Optimization -- 3.3.2 Static Optimization -- 3.4 Optimality Conditions for NLPs -- 3.4.1 Unconstrained Optimization Problems -- 3.4.2 Constrained Case: Equality Constraints -- 3.4.3 Constrained Case: Inequality and Equality Constraints -- 3.4.4 Graphical Interpretation -- References -- Part I Model Predictive Control -- 4 Linear Model Predictive Control -- 4.1 Linear Model Representation -- 4.1.1 Discrete-Time State-Space Model for Linear Systems -- 4.1.2 Discretization of Linear Continuous-Time State-Space Models -- 4.2 Cost Function for Linear MPC -- 4.3 Unconstrained Linear MPC -- 4.3.1 Analytic Solution of the Optimization Problem -- 4.3.2 Resulting Control Law -- 4.4 Constrained Linear MPC -- 4.4.1 Dense Formulation -- 4.4.2 Sparse Formulation -- 4.4.3 Comparison of Dense and Sparse Formulations. ; 4.4.4 Control Structure of Constrained Linear MPC -- 4.4.5 Numerical Solution of the Resulting Quadratic Program -- 4.5 Linear Time-Variant (LTV) Model Predictive Control -- 4.6 Numerical Examples for Linear MPC -- References -- 5 Nonlinear Model Predictive Control -- 5.1 Introduction to Nonlinear MPC -- 5.2 Numerical Solution of the Resulting Nonlinear Program -- 5.2.1 Solving the Unconstrained NLP -- 5.2.2 Solving the Constrained NLP via Sequential Quadratic Programming -- 5.2.3 Approximation of Hessian Matrix -- 5.3 Discretization of the OCP via Shooting Methods -- 5.3.1 Numerical Methods for Simulation -- 5.3.2 Discretization of Actuated Values, Cost Function, and Constraints -- 5.3.3 Discretization via Single Shooting -- 5.3.4 Discretization via Multiple Shooting -- 5.3.5 Real-Time NMPC -- References -- 6 Formulation of the Optimization Problem -- 6.1 Soft Constraints -- 6.2 Offset-Free Control -- 6.2.1 Observer-Based Offset-Free Control -- 6.2.2 Offset-Free Control Using a Deadbeat Observer -- 6.3 Reference Tracking -- 6.3.1 Delta Formulation -- 6.3.2 Two-Layered Control Structure -- 6.4 Stability Mechanisms -- 6.4.1 Stability of the Infinite-Horizon MPC -- 6.4.2 Stability of Finite-Horizon MPC -- References -- Part II Introduction to Combustion Engine Control -- 7 SI and CI Engine Control Architectures -- 7.1 Overview of Engine Control Tasks -- 7.2 SI Engine Control Systems -- 7.2.1 Air Path Controller -- 7.2.2 Fuel Path Controller -- 7.2.3 Ignition Path Controller -- 7.2.4 Control Structure -- 7.3 CI Engine Control -- 7.3.1 Fuel Path Controller -- 7.3.2 Air Path Controller -- 7.3.3 Aftertreatment Path Controller -- 7.3.4 Control Structure -- References -- 8 Low-Temperature Combustion Engine Control -- 8.1 Introduction to LTC Engines -- 8.2 Gasoline-Based LTC: Gasoline Controlled Autoignition -- 8.2.1 Cycle-to-Cycle-Based Control Strategies. ; 8.2.2 Multi-scale Control Strategies -- 8.3 Diesel-Based LTC: Premixed Charge Compression Ignition -- 8.4 Dual-Fuel-Based LTC: Reactivity Controlled Compression Ignition -- References -- Part III In-Depth Case Studies: Combustion Control -- 9 Fundamentals of Control-Oriented Air Path Modeling -- 9.1 Introduction to Control-Oriented Air Path Modeling -- 9.1.1 Requirements on Control-Oriented Air Path Models -- 9.1.2 Continuous Differentiability -- 9.2 Volume -- 9.3 Engine -- 9.4 Flow Restriction Model -- 9.4.1 Incompressible Flow Restriction Model -- 9.4.2 Compressible Flow Restriction Model -- 9.5 Turbocharger -- 9.5.1 Compressor -- 9.5.2 Turbine -- 9.5.3 Turbocharger Dynamics -- References -- 10 Combined Exhaust Gas Recirculation and VTG: Modeling and Analysis -- 10.1 System Setup -- 10.2 Control-Oriented Process Model -- 10.3 Validation of the Process Model -- 10.4 Analysis of the System Dynamics -- 10.4.1 Nonlinearity -- 10.4.2 Pole-Zero Locations -- 10.4.3 Relative Gain Array -- References -- 11 Combined Exhaust Gas Recirculation and VTG: Control -- 11.1 Nonlinear MPC Algorithm -- 11.1.1 Controller-Internal Model -- 11.1.2 Formulation of the Optimization Problem -- 11.1.3 Parametrization of the Numerical Solver -- 11.1.4 Parametrization of the Cost Function -- 11.2 Model-Based Synthesis of PI Controllers -- 11.2.1 Decentralized Synthesis of PI Controllers -- 11.2.2 Decoupling Control Approach -- 11.2.3 Anti-windup and Dead-Time -- 11.3 Simulative Comparison of the Controllers -- 11.4 Experimental Validation -- References -- 12 Two-Stage Turbocharging: Modeling and Analysis -- 12.1 Introduction -- 12.2 System Setup -- 12.2.1 Sensors -- 12.2.2 Actuators -- 12.2.3 Engine Control Algorithm -- 12.3 Nonlinear Process Model for Two-Stage Turbocharging -- 12.3.1 Fundamental Equations of Two-Stage Turbocharging -- 12.3.2 Overall State-Space Model. ; 12.4 Analysis of the System Dynamics -- 12.4.1 Stationary System Behavior -- 12.4.2 Transient System Behavior -- 12.5 Validation of Reduced-Order Model -- References -- 13 Two-Stage Turbocharging: Control -- 13.1 Nonlinear MPC Algorithm -- 13.1.1 Controller-Internal Model -- 13.1.2 Formulation of the Optimization Problem -- 13.1.3 Numerical Solution of the Optimization Problem -- 13.2 Validation of the NMPC Algorithm by Simulations -- 13.3 Experimental In-Vehicle Validation of the NMPC Algorithm -- References -- Part IV In-Depth Case Studies: Combustion -- 14 Fundamentals of CI Engine Combustion Control and Modeling -- 14.1 Introduction to Combustion Control -- 14.2 Control-Oriented Process Model -- 14.2.1 Mass Balance -- 14.2.2 Energy Balance -- 14.2.3 Applications of the Single-Zone Model -- 14.2.4 Combustion Chamber Volume -- 14.2.5 Heat Transfer Through Combustion Chamber Walls -- 14.3 Control of Cycle-Integral Combustion Parameters -- 14.4 Combustion Rate Shaping -- References -- 15 Combustion Rate Shaping Control -- 15.1 Introduction -- 15.2 Combustion Modeling -- 15.2.1 Overview on Combustion Modeling Approaches -- 15.2.2 Data-Based Combustion Models -- 15.3 Optimization-Based Fuel Injection Rate Digitalization -- 15.3.1 Data-Based Fuel Injection Model -- 15.3.2 Formulation of the Optimization Problem -- 15.3.3 Validation of the Fuel Injection Rate Digitalization Concept -- References -- Index.
• Titolo autorizzato: Nonlinear model predictive control of combustion engines
• ISBN: 3-030-68010-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484044503321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in industrial control.