Robust control of diesel ship propulsion
Author(s)
Bibliographic Information
Robust control of diesel ship propulsion
(Advances in industrial control)
Springer, 2002
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Based on the author's research and practical projects, he presents a broad view of the needs and problems of the shipping industry in this area. The book covers several models and control types, developing an integrated nonlinear state-space model of the marine propulsion system.
Table of Contents
1 Introduction.- 1.1 The Marine Diesel Propulsion System.- 1.1.1 Historical Note.- 1.1.2 Marine Engine Configuration and Operation.- 1.1.3 The Screw Propeller.- 1.2 Contribution of this Work.- 1.2.1 Statement of the Problem.- 1.2.2 Overview of the Approach.- 1.2.3 Text Outline.- 2 Marine Engine Thermodynamies.- 2.1 Physical Engine Modelling.- 2.2 Turbocharged Engine Model Variables.- 2.3 Turbocharged Engine Dynamical Equations.- 2.4 Turbocharged Engine Algebraic Equations.- 2.4.1 Turbocharger Compressor.- 2.4.2 Intercooler.- 2.4.3 Scavenging Receiver.- 2.4.4 Engine Cylinders.- 2.4.5 Exhaust Receiver.- 2.4.6 Turbocharger Turbine.- 2.5 Cycle-mean Model Summary and Solution Procedure.- 2.5.1 Direct-drive Turbocharged Engine Model Summary.- 2.5.2 Engine Simulation Procedure.- 2.5.3 Typical Case Numerical Example.- 2.5.4 Torque Map Generation Procedure.- 2.5.5 Test Case Investigation.- 2.6 Summary.- 3 Marine Plant Empirical Transfer Function.- 3.1 Black-box Engine Modelling.- 3.2 Shafting System Dynamical Analysis.- 3.2.1 Lumped Two-mass Model.- 3.2.2 Typical Case Numerical Investigation.- 3.3 The Plant Transfer Function.- 3.3.1 Black-box Model Development and Identification.- 3.3.2 Full-order Transfer Function.- 3.3.3 Reduced-order Transfer Function.- 3.3.4 Plant Transfer Function Identification.- 3.3.5 Identification of Typical Powerplant.- 3.4 Summary.- 4 Robust PID Control of the Marine Plant.- 4.1 Introduction.- 4.1.1 The PID Control Law.- 4.1.2 Proportional Control.- 4.1.3 Proportional-Integral Control.- 4.1.4 Proportional-Integral-Derivative Control.- 4.2 Application Aspects of Marine Engine Goveming.- 4.2.1 Functionality Requirements.- 4.2.2 Spectral Analysis of Engine and Propeller Torque.- 4.2.3 Example of Propulsion Plant Analysis.- 4.3 PID H-infinity Loop Shaping.- 4.3.1 Theoretical Note.- 4.3.2 PID Controller Tuning for Loop Shaping.- 4.4 PI and PID H-infinity Regulation of Shaft RPM.- 4.4.1 Overview and Requirements.- 4.4.2 The PI H? RPM Regulator.- 4.4.3 The PID H? RPM Regulator.- 4.4.4 Robustness Against Neglected Dynamies.- 4.4.5 Numerical Investigation of a Typical Case.- 4.5 D-term Implementation Using Shaft Torque Feedback.- 4.5.1 Real-time Differentiation and Linear Filters.- 4.5.2 RPM Derivative Estimation from Fuel Index and Shaft Torque.- 4.5.3 The PID H? RPM Regulator with Shaft Torque Feedforward.- 4.5.4 Typical Case Numerical Investigation.- 4.6 Summary.- 5 State-space Description of the Marine Plant.- 5.1 Introduction.- 5.1.1 Overview of the Approach.- 5.1.2 Mathematical Formulation and Notation.- 5.2 The Neural Torque Approximators.- 5.2.1 Configuration of the Approximators.- 5.2.2 Training of the Approximators.- 5.2.3 Typical Case Numerical Investigation.- 5.3 State Equations of the Marine Plant.- 5.4 State-space Decomposition and Uncertainty.- 5.4.1 Manipulation of Equations and Variables.- 5.4.2 State-space Parametrie Uncertainty and Disturbance.- 5.4.3 Uncertainty Identification of Typical Powerplant.- 5.5 Transfer Function Matrix of the Marine Plant.- 5.5.1 The Open-loop Transfer Function Matrix.- 5.5.2 Empirical and State-space Transfer Function.- 5.6 Summary.- 6 Marine Plant Robust State-feedback Control.- 6.1 Introduction.- 6.1.1. Controller Design Framework.- 6.1.2. Control of N2M.- 6.1.3. Control of UPM.- 6.1.4. Architecture of the Propulsion Control System.- 6.2 Supervisory Setpoint Control of the Marine Plant.- 6.2.1 Setpoint Control Requirements.- 6.2.2 Supervisory Controller Structure.- 6.2.3 Test Case Investigation.- 6.2.4 The Low-pass Setpoint Filter.- 6.3 Full-state-feedback Control of the Marine Plant.- 6.3.1 Theoretical Background.- 6.3.2 Practical H?-norm Requirements.- 6.3.3 Marine Plant Regulator Synthesis.- 6.3.4 Test Case: MAN B&W 6L60MC Marine Plant.- 6.3.5 Robustness Against Model Uncertainty.- 6.4 State-feedback and Integral Control of the Marine Plant.- 6.4.1 Steady-state Error Analysis.- 6.4.2 Integral Control and Steady-state Error.- 6.5 Summary.- 7 Closure.- 7.1 Conclusions and Discussion.- 7.2 Subjects for Future Investigations and Research.- Appendix A Non-linear Aigebraic Systems of Equations.- Appendix B Second-order Transfer Function with Zero.- References.
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