Page 327 - Distributed model predictive control for plant-wide systems

Index 301

problem statement, 242–4 presumed sequences, 170
existing method, 242–3 presumed state sequence, 172, 173
why using DMPC framework, problem description, 170–171
243–4 stabilizing dual mode non-cooperative
thermodynamic model, 241–2 DMPC with input constraints,
numerical experiment, 251–61 171–7
advantages, comparing with the algorithm design, 176–7
existing method, 253–6 formulation, 171–6
convergence, EKF, 252 Local Cost Optimization based Distributed
performance, comparing with CMPC, Predictive Control (LCO-DMPC), 12,
252–3 67–102, 169–87, 227–8
thermal and physical properties, 251 closed-loop solution, 72–8
validation of designed model, 251–2 algorithm, 77–8
Hydrocracking plants, 43–4 closed-loop solution, 76–7
computational complexity, 78
Inputs and information structure constraints, interaction prediction, 72–3
209 quadratic program transformation, 75
Introduction, 1 state prediction, 73–4
Invariant region, 33–4, 174, 192, 215 formulation, 69–72
Iterative algorithm, networked DMPC, optimization problem, 71
application, 144–59 performance index, 70
algorithm, 147–50 predictive model, 71
conclusion, 159 output interaction vectors, 69
convergence and optimality analysis for problem description, 68–9
networked, 150–152 simulation, 79–83
DMPC formulation, 145–7 stability analysis, 79
nominal stability analysis for distributed state interaction vectors, 69
control systems, 152–3 Lyapunov equation, 191
problem description, 144–5
simulation study, 153–9 Model predictive control, 8–9, 19–37, 83
illustrative example, 153–4 advantage of predictive control, 9
walking beam reheating furnace predictive control, what is, 8–9
system, 154–9 QP problem transformation, 99
Iterative-based algorithm, DMPC, 11–12 Multitype cooling source system, DMPC,
279–92
LCO-DMPC, with constraints, 169–87 conclusion, 292
analysis, 177 control strategy, joint cooling system,
recursive feasibility, 177–82 280–286
stability analysis, 183–4 constraint conditions, economic
conclusion, 187 optimization, 283
example, 184–97 cooling power, ice storage tank, 282
performance comparison, 185–7 design, multi-type cold source system
feasible control sequence, 172, 176 DMPC, 283–6
feasible state sequence, 172, 176 economic model, ice storage tank, 282
introduction, 169–70 economic models, conventional
presumed control sequence, 172, 173 refrigerators, 281–2