Introduction | p. 1 |
Examples of Integral Processes with Dead Time | p. 1 |
Tanks with an Outlet | p. 1 |
Supply Chain Management Processes | p. 3 |
Communication Networks | p. 3 |
Other Examples | p. 4 |
Overview of the Book | p. 5 |
PID Control Schemes | |
PID Control | p. 9 |
PID Controllers | p. 9 |
Basic Principles | p. 9 |
Improvements | p. 11 |
Identification | p. 13 |
Open-loop Identification | p. 13 |
Closed-loop Identification | p. 16 |
Tuning Methods | p. 24 |
Empirical Formulae | p. 25 |
Analytical Methods | p. 26 |
Frequency-domain Methods | p. 34 |
Optimisation-based Methods | p. 41 |
Conclusions | p. 47 |
Stability Region | p. 49 |
Stability Region Under the PI Control | p. 49 |
Normalisation of the System | p. 49 |
Stability Region | p. 50 |
Achievable Stability Margins | p. 52 |
An Illustrative Example | p. 55 |
Stability Region Under the PID Control | p. 56 |
IPDT Processes | p. 56 |
SOIPDT Processes | p. 64 |
Conclusions | p. 70 |
Performance Assessment and Controller Retuning | p. 71 |
Introduction | p. 71 |
Problem Formulation | p. 72 |
Performance Assessment | p. 73 |
Estimation of the Process Parameters | p. 77 |
Set-point Step Response | p. 77 |
Load Disturbance Step Response | p. 79 |
Retuning of the PID Controller | p. 81 |
Simulation Results | p. 81 |
Example 1 | p. 82 |
Example 2 | p. 83 |
Example 3 | p. 84 |
Conclusions | p. 86 |
Plug&Control | p. 87 |
Methodology | p. 87 |
Algorithm | p. 88 |
Practical Considerations | p. 89 |
Simulation Results | p. 90 |
Conclusions | p. 92 |
Two-degree-of-freedom Control Scheme | |
Feedforward Control | p. 95 |
Standard Two-degree-of-freedom Control Scheme | p. 95 |
Two-state Time-optimal Feedforward Control | p. 96 |
Methodology | p. 96 |
Illustrative Examples | p. 98 |
Noncausal Feedforward Action: Continuous-time Case | p. 99 |
Generalities | p. 100 |
Modelling | p. 100 |
PID Controller Design | p. 101 |
Output Function Design | p. 101 |
Stable Input-Output Inversion Algorithm | p. 102 |
Discussions | p. 106 |
Practical Implementation | p. 107 |
Simulation Results | p. 108 |
Noncausal Feedforward Action: Discrete-time Case | p. 111 |
Methodology | p. 112 |
An Illustrative Example | p. 118 |
Conclusions | p. 119 |
PID-PD Control | p. 121 |
The Control Scheme | p. 121 |
PI-PD Structure | p. 121 |
A Simple Approach | p. 122 |
Tuning Method Based on the Standard Forms | p. 124 |
PID-P Structure | p. 125 |
Tuning Method Based on Sensitivity Specifications | p. 126 |
Tuning Method Based on Phase and Gain Margins | p. 130 |
Tuning Method Based on a New Robustness Specification | p. 132 |
PID-PD Structure | p. 135 |
Tuning Method Based on a New Robustness Specification | p. 136 |
A More Complex Controller | p. 138 |
Conclusions | p. 140 |
Smith-predictor-based Control | p. 141 |
Classical Smith Predictor | p. 141 |
Modified Smith Predictor | p. 143 |
Aström-Hang-Lim Modified Smith Predictor | p. 146 |
Methodology | p. 147 |
Robust Tuning Method | p. 148 |
Simplified Tuning Method | p. 152 |
Anti-windup Compensation | p. 155 |
Matausek-Micic Modified Smith Predictor | p. 156 |
Basic Scheme | p. 157 |
Improvement | p. 159 |
Normey-Rico-Camacho Modified Smith Predictor | p. 161 |
Control Scheme | p. 162 |
Robust Tuning | p. 163 |
Improvement | p. 164 |
An Alternative Approach | p. 166 |
Anti-windup Strategy | p. 168 |
Comparison with Other Schemes | p. 168 |
Chien-Peng-Liu Modified Smith Predictor | p. 170 |
Seshagiri Rao-Rao-Chidambaram Modified Smith Predictor | p. 173 |
Tian-Gao Modified Smith Predictor | p. 175 |
More Complex Schemes | p. 176 |
Majhi-Atherton Modified Smith Predictor | p. 177 |
Liu-Cai-Gu-Zhang Modified Smith Predictor | p. 180 |
Lu-Yang-Wang-Zheng Modified Smith Predictor | p. 183 |
Conclusions | p. 184 |
Smith-principle-based PID-type Control | p. 187 |
The Control Scheme | p. 187 |
An Equivalent Structure for Implementation | p. 189 |
Robustness Analysis | p. 190 |
Simulation Examples | p. 193 |
Conclusions | p. 193 |
Disturbance Observer-based Control | p. 195 |
Disturbance Observer | p. 195 |
Control Structure | p. 196 |
Controller Design to Reject Ramp/Step Disturbances | p. 197 |
Design of Q(s) | p. 197 |
Examples | p. 199 |
Controller Design to Obtain Deadbeat Disturbance Responses | p. 203 |
Design of Q(s) | p. 203 |
Implementation of the Controller | p. 205 |
Parameter Tuning and Robustness | p. 207 |
Stability of the Controller | p. 210 |
An Example | p. 212 |
Conclusions | p. 212 |
Quantitative Analysis | p. 213 |
Introduction | p. 213 |
The Lambert W Function | p. 214 |
Achievable Specifications of the Sub-ideal Disturbance Response | p. 214 |
Maximal Dynamic Error | p. 217 |
Maximal Decay Rate | p. 218 |
Control Action Bound | p. 219 |
Approximate Recovery Time | p. 220 |
Robust Stability Regions | p. 221 |
With Gain Uncertainties | p. 222 |
With Dead-time Uncertainties | p. 223 |
With Dead-time and Gain Uncertainties | p. 225 |
Stability of the Controller | p. 226 |
Conclusions | p. 228 |
Practical Issues | p. 229 |
The Control Scheme Under Consideration | p. 229 |
Zero Static Error | p. 230 |
Internal Stability | p. 231 |
Experimental Results | p. 232 |
The Experimental Setup | p. 232 |
The Scheme Shown in Figure 12.2(a) | p. 234 |
The Scheme Shown in Figure 12.2(b) | p. 234 |
The Scheme Shown in Figure 12.3 | p. 235 |
Comparison with a PI Controller | p. 239 |
Robustness with Respect to Changes in the Dead Time | p. 239 |
Conclusions | p. 239 |
References | p. 241 |
Index | p. 249 |
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