Page 11 - Distributed model predictive control for plant-wide systems

Contents ix

10.3 Constrained N-DMPC 212
10.3.1 Formulation 212
10.3.2 Algorithm Design for Resolving Each Subsystem-based
Predictive Control 218
10.4 Analysis 219
10.4.1 Feasibility 219
10.4.2 Stability 225
10.5 Formulations Under Other Coordination Strategies 227
10.5.1 Local Cost Optimization Based DMPC 227
10.5.2 Cooperative DMPC 228
10.6 Simulation Results 229
10.6.1 The System 229
10.6.2 Performance of Closed-loop System under the N-DMPC 230
10.6.3 Performance Comparison with the Centralized MPC and the Local
Cost Optimization based MPC 231
10.7 Conclusions 236

Part IV APPLICATION
11 Hot-Rolled Strip Laminar Cooling Process with Distributed
Predictive Control 239
11.1 Introduction 239
11.2 Laminar Cooling of Hot-rolled Strip 240
11.2.1 Description 240
11.2.2 Thermodynamic Model 241
11.2.3 Problem Statement 242
11.3 Control Strategy of HSLC 244
11.3.1 State Space Model of Subsystems 244
11.3.2 Design of Extended Kalman Filter 247
11.3.3 Predictor 247
11.3.4 Local MPC Formulation 248
11.3.5 Iterative Algorithm 249
11.4 Numerical Experiment 251
11.4.1 Validation of Designed Model 251
11.4.2 Convergence of EKF 252
11.4.3 Performance of DMPC Comparing with Centralized MPC 252
11.4.4 Advantages of the Proposed DMPC Framework Comparing
with the Existing Method 253
11.5 Experimental Results 256
11.6 Conclusion 258

12 High-Speed Train Control with Distributed Predictive
Control 263
12.1 Introduction 263
12.2 System Description 264