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Introduction to Ship Motion Control |
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1 | (16) |
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The Fundamental Problem of Ship Motion Control |
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2 | (2) |
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Ship Motion Control Problems and Control Designs Addressed in this Book |
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4 | (1) |
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Mathematical Models for Control |
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5 | (1) |
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State-space and Input-output Models Revisited |
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6 | (5) |
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8 | (2) |
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10 | (1) |
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Computer-Controlled Systems |
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11 | (2) |
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13 | (4) |
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Part I Ship Modelling for Control |
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Environmental Disturbances |
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17 | (28) |
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Basic Hydrodynamic Assumptions |
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17 | (3) |
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Fluid Flow and Continuity |
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17 | (1) |
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18 | (1) |
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19 | (1) |
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Potential Flows and The Bernoulli Equation |
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19 | (1) |
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Regular Waves in Deep Water |
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20 | (3) |
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23 | (2) |
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Ocean Waves and Wave Spectra |
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25 | (6) |
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Statistics of Wave Period |
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27 | (1) |
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27 | (3) |
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A Note on the Units of the Spectral Density |
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30 | (1) |
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Standard Spectrum Formulae |
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31 | (3) |
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Linear Representation of Long-crested Irregular Seas |
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34 | (2) |
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36 | (1) |
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Short-crested Irregular Seas |
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36 | (2) |
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Long-term Statistics of Ocean Waves |
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38 | (1) |
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Simulation of Wave Elevation |
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39 | (6) |
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Kinematics of Ship Motion |
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45 | (14) |
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45 | (3) |
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48 | (1) |
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Coordinates Used to Describe Ship Motion |
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48 | (5) |
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Manoeuvring and Seakeeping |
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48 | (1) |
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Manoeuvring Coordinates and Reference Frames |
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49 | (1) |
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Seakeeping Coordinates and Reference Frames |
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50 | (2) |
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52 | (1) |
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53 | (6) |
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53 | (1) |
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Kinematic Transformation Between the b- and the n-frame |
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54 | (1) |
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Kinematic Transformation Between the b- and the h-frame |
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55 | (4) |
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59 | (34) |
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An Overview of Ship Modeling for Control |
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59 | (3) |
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62 | (17) |
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Equations of Motion and Hydrodynamic Forces in the h-frame |
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63 | (3) |
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Wave Force Response Amplitude Operator (Force RAO) |
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66 | (1) |
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Motion Response Amplitude Operator (Motion RAO) |
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67 | (4) |
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Ship Motion Spectra and Statistics of Ship Motion |
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71 | (2) |
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Time-series of Ship Motion using Seakeeping Models |
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73 | (6) |
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Manoeuvring Theory Models |
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79 | (7) |
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Rigid Body Dynamics in the b-frame |
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79 | (3) |
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Manoeuvring Hydrodynamics |
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82 | (1) |
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Nonlinear Manoeuvring State-space Models |
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83 | (2) |
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Linear Manoeuvring State-space Models |
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85 | (1) |
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A Force-superposition Model for Slow Manoeuvring in a Seaway |
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86 | (7) |
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Time Domain Seakeeping Models in the h-frame |
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86 | (3) |
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Seakeeping Model in the b-frame |
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89 | (2) |
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A Unified Nonlinear State-pace Model |
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91 | (2) |
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Control Surfaces (Actuators) |
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93 | (20) |
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Geometry of Fin and Rudder Hydrofoils |
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93 | (1) |
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Hydrodynamic Forces Acting on a Foil |
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93 | (4) |
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97 | (4) |
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Forces and Moments Acting on the Hull |
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101 | (3) |
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102 | (2) |
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Rudder-Propeller Interaction |
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104 | (4) |
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106 | (2) |
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108 | (1) |
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Part I Summary and Discussion |
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109 | (4) |
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Part II Introduction to Ship Roll Stabilisation |
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113 | (14) |
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Effects of Roll Motion on Ship Performance |
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113 | (1) |
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Damping or Stabilising Systems? |
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113 | (2) |
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Ship Roll Stabilisation Techniques |
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115 | (7) |
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116 | (1) |
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116 | (1) |
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117 | (2) |
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119 | (1) |
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Rudder Roll Stabilisation RRS |
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120 | (2) |
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A Note on the Early Days of Ship Roll Stabilisation |
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122 | (5) |
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127 | (18) |
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Reduction of Roll at Resonance---RRR |
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127 | (1) |
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Reduction of Statistics of Roll---RSR |
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128 | (1) |
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Reduction of Probability of Roll Peak Occurrence---RRO |
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128 | (2) |
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Increase in Percentage of Time Operable---IPTO |
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130 | (5) |
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Seakeeping Indices Affected by Roll |
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135 | (6) |
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Lateral Force Estimator---LFE |
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136 | (2) |
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Motion-induced Interruptions---MII |
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138 | (2) |
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Motion Sickness Incidence---MSI |
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140 | (1) |
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Implications for Stabiliser Control System Design |
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141 | (1) |
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Part II Summary and Discussion |
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142 | (3) |
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Part III Performance Limitations in Feedback Control with Application to Ship Roll Stabilisers |
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Linear Performance Limitations |
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145 | (32) |
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Introduction to Fundamental Limitation in Feedback Control Systems |
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146 | (4) |
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Non-minimum Phase Dynamics in Ship Response |
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150 | (4) |
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Deterministic SISO Performance Limitations of RRS |
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154 | (7) |
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Sensitivity Integrals-Frequency Domain Approach |
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155 | (4) |
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Performance Trade-offs of Non-adaptive Feedback Controllers for RRS |
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159 | (2) |
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Stochastic SISO Performance Limitations of RRS |
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161 | (4) |
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Limiting Optimal Control Performance Limitations |
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161 | (3) |
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Stochastic SISO Results and RRS |
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164 | (1) |
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Optimal Roll Reduction vs. Yaw Interference Trade-off |
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165 | (6) |
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SITO Control Problems in the Frequency Domain |
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165 | (2) |
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167 | (4) |
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Comments on the Applicability of Rudder Stabilisers |
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171 | (4) |
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NMP Dynamics in Fin Stabilizers |
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175 | (2) |
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Constrained Performance Limitations |
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177 | (16) |
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Input Constraints and Saturation Effects |
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177 | (1) |
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Input Constraints and Performance at a Single Frequency |
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178 | (3) |
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179 | (1) |
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180 | (1) |
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Application to Rudder-Based Stabilizers |
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181 | (1) |
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Stochastic Approach: Variance Constraints |
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182 | (6) |
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IVC Optical Control Problem Formulation |
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182 | (3) |
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185 | (3) |
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Part III Summary and Discussion |
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188 | (5) |
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Part IV Control System Design for Autopilot with Rudder Roll Stabilisation and Fin Stabilisers |
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Previous Research in Control of Rudder Roll Stabilisation and Fin Stabilisers |
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193 | (14) |
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Rudder Roll Stabilisation in the 1970s |
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193 | (3) |
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Rudder Roll Stabilisation in the 1980s |
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196 | (5) |
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Rudder Roll Stabilisation in the 1990s |
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201 | (2) |
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Rudder Roll Stabilisation from 2000 to 2004 |
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203 | (1) |
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Work on Fin and Combined Rudder and Fin Stabiliser Control |
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204 | (1) |
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Main Issues Reported in Previous Work |
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204 | (3) |
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Constrained Control via Optimisation |
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207 | (14) |
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Constraint Classification |
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208 | (1) |
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Different Approaches to Constrained Control Problems |
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208 | (1) |
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Finite-horizon Sequential-decision Problems |
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209 | (1) |
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Infinite Horizons and Receding-horizon Implementation |
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210 | (1) |
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211 | (2) |
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Constrained Linear Systems |
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213 | (3) |
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Explicit and Implicit Implementations of QP-MPC |
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216 | (1) |
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Stability of Model Predictive Control |
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217 | (2) |
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Constrained Control of Uncertain Systems |
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219 | (2) |
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Control System Design for Autopilots with Rudder Roll Stabilisation |
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221 | (30) |
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Overview of Autopilot Functions and their Influence on Control Design |
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221 | (2) |
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RRS: A Challenging Control Problem |
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223 | (1) |
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Control System Architecture |
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224 | (1) |
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225 | (4) |
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226 | (2) |
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Wave-induced Motion Model |
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228 | (1) |
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Disturbance Parameter Estimation and Forecasting |
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229 | (4) |
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Observer Design: State Estimation and Wave Filtering |
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233 | (4) |
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Autopilot Control System Design |
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237 | (1) |
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Autopilot Control Problem and Assumptions for the Design |
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237 | (3) |
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A Model Predictive Control Solution |
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240 | (2) |
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Performance of Model Predictive RRS |
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242 | (9) |
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Choosing the Prediction Horizon |
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243 | (1) |
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Penalising Roll Acceleration in the Cost |
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243 | (1) |
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Case A: Beam Seas at the Top of Sea State 4 |
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244 | (1) |
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Case B: Quartering Seas at the Top of Sea State 5 |
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245 | (1) |
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Case C: Bow Seas at the Top of Sea State 5 |
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246 | (1) |
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246 | (2) |
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A Comment About the Simulation Results |
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248 | (3) |
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Constrained Control of Fin Stabilisers |
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251 | (14) |
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Performance and Control of Rudder and Fins |
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251 | (1) |
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A Model for Fin Stabilizer Control Design |
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252 | (2) |
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Output Constraints to avoid Dynamic Stall |
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254 | (2) |
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A MPC Fin-Stabiliser Controller |
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256 | (2) |
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258 | (5) |
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Integrated Control of Rudder and Fins |
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263 | (1) |
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263 | (2) |
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A Observers and Kalman Filtering |
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265 | (8) |
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A.1 State Estimation via Observers |
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265 | (1) |
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266 | (2) |
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A.3 Optimality of Kalman Filters |
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268 | (1) |
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A.4 Correlated Disturbances |
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269 | (1) |
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A.5 Practical Kalman Filter: Tuning |
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270 | (1) |
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A.6 Steady State Kalman filter |
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270 | (1) |
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A.7 Implementation Issues |
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271 | (2) |
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B A Benchmark Example: Naval Vessel |
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273 | (10) |
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274 | (1) |
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B.2 Adopted Reference frames |
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275 | (1) |
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B.3 Principal Hull Data and Loading Condition |
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276 | (1) |
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B.4 Rudder, Fins and Bilge Keels |
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277 | (2) |
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B.5 Manoeuvring Coefficients and Motion RAO |
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279 | (4) |
References |
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283 | (14) |
Index |
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297 | |