This book will sell because of the wide variety of control techniques it explores, many of which are applicable outside the marine industry to which it appeals primarily.

Includes supplementary material: sn.pub/extras

Klappentext

The control of marine engines and propulsion plants is a field of increasing interest to the maritime industry. The author's participation in a number of closely related research projects together with practical shipboard experience allows Robust Control of Diesel Ship Propulsion to present a broad view of the needs and problems of the shipping industry in this area.

The book covers a number of models and control types: An integrated nonlinear state-space model of the marine propulsion system is developed. This is based upon physical principles that incorporate uncertainties due to engine thermodynamics and disturbances due to propeller hydrodynamics. The model employs artificial neural nets for depicting the nonlinearities of the thermochemical processes of engine power/torque generation and the engine-turbocharger dynamical interaction; neural nets combine the required mathematical flexibility and formalism with numerical training and calibration options using either thermodynamic engine models or measured data series. The neural state-space model is decomposed appropriately to provide a linearised perturbation model suitable for controller synthesis.

The proportional integral (derivative) control law is examined under the perspective of shaft speed regulation for enhanced disturbance rejection of the propeller load. The typical marine shafting system dynamics and configuration allow for a smart implementation of the D-term based on shaft torque feedback.

Full-state feedback control is, examined for increased robustness of the compensated plant against parametric uncertainty and neglected dynamics. The H-infinity requirements on the closed-loop transfer matrix are appropriately decomposed to similar ones on scalar transfer functions, which give specifications which are easier to manipulate.

In effect, the methods are comparatively assessed and suggestions for extensions and practical applications are given. This synthetic approach to the propulsion plant control and operational problems should prove useful for both theoreticians and practitioners, and can be easily adopted for the control of other processes or systems outside the marine field, as well.

Inhalt
1 Introduction.- 1.1 The Marine Diesel Propulsion System.- 1.2 Contribution of this Work.- 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.- 2.5 Cycle-mean Model Summary and Solution Procedure.- 2.6 Summary.- 3 Marine Plant Empirical Transfer Function.- 3.1 Black-box Engine Modelling.- 3.2 Shafting System Dynamical Analysis.- 3.3 The Plant Transfer Function.- 3.4 Summary.- 4 Robust PID Control of the Marine Plant.- 4.1 Introduction.- 4.2 Application Aspects of Marine Engine Goveming.- 4.3 PID H-infinity Loop Shaping.- 4.4 PI and PID H-infinity Regulation of Shaft RPM.- 4.5 D-term Implementation Using Shaft Torque Feedback.- 4.6 Summary.- 5 State-space Description of the Marine Plant.- 5.1 Introduction.- 5.2 The Neural Torque Approximators.- 5.3 State Equations of the Marine Plant.- 5.4 State-space Decomposition and Uncertainty.- 5.5 Transfer Function Matrix of the Marine Plant.- 5.6 Summary.- 6 Marine Plant Robust State-feedback Control.- 6.1 Introduction.- 6.2 Supervisory Setpoint Control of the Marine Plant.- 6.3 Full-state-feedback Control of the Marine Plant.- 6.4 State-feedback and Integral Control of the Marine Plant.- 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.