ENERGY CONSERVATION THROUGH CONTROL
CONTENTS SOLAR ENERGY COLLECTOR SYSTEMS SOLAR ENERGY TYPES OF SOLAR THERMAL PLANTS DISTRIBUTED COLLECTOR FIELDS DIRECT STEAM GENERATION SOLAR TOWERS SOLAR FURNACES CONTROL OF DISTRIBUTED COLLECTOR FIELDS LITERATURE OVERVIEW BOOK ORGANIZATION MAIN POINTS OF THE CHAPTER REFERENCES MODELS AND DYNAMICS REDUCED COMPLEXITY MODEL UNDERSTANDING THE DYNAMICS EXACT SOLUTION OF THE DISTRIBUTED MODEL QUALITATIVE DISCUSSION CHARACTERISTIC CURVES DISCRETE TIME INTEGRAL MODEL FINITE DIMENSION STATE-SPACE MODELS FINITE DIFFERENCE APPROACH REACHABLE STATES JACOBIAN LINEARIZATION ORTHOGONAL COLLOCATION PLANTS WITH SIMILAR DYNAMICS MOISTURE CONTROL TRAFFIC IN HIGHWAYS GLASS TUBE MANUFACTURING AIR HEATING FAN STEAM SUPERHEATER ARC WELDING BIBLIOGRAPHIC NOTES PREDICTIVE ADAPTIVE CONTROL WITH LINEAR MODELS RECEDING HORIZON CONTROL LINEAR PREDICTIVE MODELS ARX PLANT MODEL POSITIONAL PREDICTIVE MODELS INCREMENTAL PREDICTIVE MODELS MUSMAR PREDICTIVE MODELS THE CASE OF COLORED NOISE PREDICTIVE MODEL IDENTIFICATION RECURSIVE LEAST SQUARES ESTIMATION PREDICTOR EXTRAPOLATION AND REDUNDANT ESTIMATION THE GPC ALGORITHM CONSTRAINTS OPERATIONAL CONSTRAINTS STABILITY CONSTRAINTS THE MUSMAR ALGORITHM THE BASIC ALGORITHM MUSMAR AS A COST OPTIMIZER CONSTRAINTS IN MUSMAR DYNAMIC COST USING MUSMAR IN PRACTICAL EXAMPLES EXAMPLE 1: AIR HEATING FAN EXAMPLE 2: SUPERHEATED STEAM IN A BOILER EXAMPLE 3: ARC WELDING SOLAR FIELD PREDICTIVE ADAPTIVE CONTROL TEMPERATURE CONTROL WITH A DYNAMIC COST CASCADE CONTROL DUAL CONTROL AND START-UP THE BI-CRITERIA APPROACH THE DUAL MUSMAR ALGORITHM DUAL MUSMAR CONTROL OF A DCSF 3 10 MAIN POINTS OF THE CHAPTER 3 11 BIBLIOGRAPHIC NOTES MULTIPLE MODEL ADAPTIVE CONTROL CONTROLLER STRUCTURE GAIN-SCHEDULING CONTROL SUPERVISED MULTIPLE MODEL ADAPTIVE CONTROL LOCAL CONTROLLER DESIGN EXAMPLE: AIR HEATING FAN DCSF APPLICATION DCSF CONTROL WITH MMAC: EXPERIMENT 1 DCSF CONTROL WITH MMAC: EXPERIMENT 2 DCSF CONTROL WITH MMAC: EXPERIMENT 3 NONLINEAR ADAPTIVE PREDICTIVE CONTROL WARPED TIME OUTPUT PREDICTION MODELS OUTPUT-BASED PREDICTIVE CONTROL EXPERIMENTAL RESULTS WITH WARTIC-I/O STATE-BASED PREDICTIVE CONTROL LINEAR STATE-SPACE MODEL BASED ON NONUNIFORM SAMPLING CONTROL LAW OBSERVER DESIGN EXPERIMENTAL RESULTS WITH WARTIC-STATE NONLINEAR ADAPTIVE CONTROL FEEDBACK LINEARIZATION INPUT–OUTPUT LINEARIZATION INTERNAL DYNAMICS INTERNAL DYNAMICS WITH APPROXIMATE CONTROL LAWS CONTROL WITH A REDUCED COMPLEXITY MODEL FEEDBACK LINEARIZATION OF THE REDUCED COMPLEXITY MODEL CONTROL LYAPUNOV FUNCTION-BASED ADAPTATION EXPERIMENTAL RESULTS WITH REDUCED COMPLEXITY CONTROL HIGHER ORDER MODELS AND RECEDING HORIZON CONTROL NONLINEAR ADAPTIVE CONTROL WITH HIGHER ORDER MODELS STABILIZING RECEDING HORIZON CONTROL STATE OBSERVER COMPUTATIONAL ALGORITHM CONTROL OF A DCSF ADAPTIVE MOTION PLANNING FLATNESS-BASED MOTION PLANNING ORBITAL FLATNESS TRAJECTORY GENERATION EXPONENTIAL TYPE GEVREY FUNCTIONS OF CLASS A COMPUTING THE OUTPUT DERIVATIVES COMPUTATION OF THE DERIVATIVES OF A GEVREY FUNCTION EXAMPLE: MOTION PLANNING OF A DCSF SERVO CONTROL ADAPTATION MOTION PLANNING OF A MOISTURE CONTROL SYSTEM CHANGE OF TIME VARIABLE THE HOMOGENEOUS EQUATION SOLUTION OF THE NONHOMOGENEOUS EQUATION FLAT OUTPUT PLANNING FORMULAS CONCLUSIONS ROAD MAP OF DCSF ADAPTIVE CONTROL ALGORITHMS DCSF CHARACTERISTICS AND CONTROL DESIGN CONTROLLERS BASED ON DATA-DRIVEN MODELS EXPLOITING DCSF STRUCTURE TACKLING THE ADAPTATION TRANSIENT THE CONTEXT OF RENEWABLE ENERGY PRODUCTION EFFICIENCY AND OPERATIONAL CONSTRAINTS MARKET WITH CHANGING PRICES CYBER-PHYSICAL SYSTEMS WHAT WAS LEFT OUT?