Search Results - (("experiment" OR (((("experimentsalsal" OR "experimentsalsal") OR "experientialallysssal") OR ("experimentalal" OR (("experimentalally" OR "experimentsalally") OR ("experimentelle" OR "experimentalally")))) OR "experienced")) OR ((("experimentumsals" OR (("experimentum" OR "experimentum") OR "experimentalals")) OR (("experimentsss" OR "experimentalsss") OR "experimentalals")) OR ((("experimentalssally" OR "experimentellealalsally") OR ("experimentsly" OR (("experientially" OR "experiencingly") OR "experiential"))) OR ("experimentsly" OR ((("experimentsssalsly" OR ("experimentalalsly" OR "experimentellesly")) OR (("experimentumalsly" OR "experimentsumalsly") OR "experimentalumalsly")) OR (("experimentalally" OR "experimentsalally") OR "experimentselle"))))))

PID and predictive control of electrical drives and power supplies using MATLAB/Simulink by Wang, Liuping

Solaris South Tower, Singapore : John Wiley & Sons, Inc., 2015

Table of Contents: “…8.2.1 Augmented Model 269 -- 8.2.2 Design without Constraints 270 -- 8.2.3 Formulation of the Constraints 272 -- 8.2.4 On-line Solution for Constrained MPC 272 -- 8.3 Experimental Evaluation of DMPC of PMSM 274 -- 8.3.1 The MPC Parameters 274 -- 8.3.2 Constraints 275 -- 8.3.3 Response to Load Disturbances 275 -- 8.3.4 Response to a Staircase Reference 277 -- 8.3.5 Tuning of the MPC controller 278 -- 8.4 Power Converter Control Using DMPC with Experimental Validation 280 -- 8.5 Summary 281 -- 8.6 Further Reading 282 -- References 283 -- 9 Continuous-time Model Predictive Control (CMPC) of Electrical Drives and PowerConverter 285 -- 9.1 Continuous-time MPC Design 286 -- 9.1.1 Augmented Model 286 -- 9.1.2 Description of the Control Trajectories Using Laguerre Functions 287 -- 9.1.3 Continuous-time Predictive Control without Constraints 289 -- 9.1.4 Tuning of CMPC Control System Using Exponential Data Weighting and Prescribed Degree of Stability 292 -- 9.2 CMPC with Nonlinear Constraints 294 -- 9.2.1 Approximation of Nonlinear Constraint Using Four Linear Constraints 294 -- 9.2.2 Approximation of Nonlinear Constraint Using Sixteen Linear Constraints 294 -- 9.2.3 State Feedback Observer 297 -- 9.3 Simulation and Experimental Evaluation of CMPC of Induction Motor 298 -- 9.3.1 Simulation Results 298 -- 9.3.2 Experimental Results 300 -- 9.4 Continuous-time Model Predictive Control of Power Converter 301 -- 9.4.1 Use of Prescribed Degree of Stability in the Design 302 -- 9.4.2 Experimental Results for Rectification Mode 303 -- 9.4.3 Experimental Results for Regeneration Mode 303 -- 9.4.4 Experimental Results for Disturbance Rejection 304 -- 9.5 Gain Scheduled Predictive Controller 305 -- 9.5.1 The Weighting Parameters 305 -- 9.5.2 Gain Scheduled Predictive Control Law 307 -- 9.6 Experimental Results of Gain Scheduled Predictive Control of Induction Motor 309 -- 9.6.1 The First Set of Experimental Results 309 -- 9.6.2 The Second Set of Experimental Results 311 -- 9.6.3 The Third Set of Experimental Results 312.…”

Format: Electronic eBook