Design of an Automatic Control Algorithm for Energy-Efficient ...

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Simulation parameters 146 Symbol Parameter Value Used in objective �� Maximum weight 255 All �� Lowest carbon dioxide concentra- tion �� Highest carbon dioxide concentra- tion (�� ) �� 3600 �� Air quality Air quality �� Maximum energy consumption 200 � Power consumption (el.) �� Maximum fogging “distance” 5 � Fogging affinity �� Pressure scaling factor 83 �� Fogging affinity �� Maximum humidity user bias 30%rH Humidity comfort �� Maximum comfortable humidity 70%rH Humidity comfort �� Minimum comfortable humidity 30%rH Humidity comfort �� Maximum for the user adjustable metabolism �� Minimum for the user adjustable �� metabolism Minimum temperature for the clothing adaption Maximum temperature for the clothing adaption 2.25 �� Thermal comfort 0.75 �� Thermal comfort -5.0 ℃ Thermal comfort 25.0 ℃ Thermal comfort �� Minimum clothing insulation 0.3 �� Thermal comfort �� Maximum clothing insulation 1.5 �� Thermal comfort �� Lower limit for the cold air prevention Upper limit for the cold air prevention � ℃ Cold air prevention limit �� ℃ Cold air prevention limit
Simulation parameters 147 Panic handler for � �� Comment Fogging affinity ��+22 �� Thermal comfort �� 1 � Humidity comfort �� Not reachable Air quality �� Power consumption (electric) �� Not reachable Power consumption (fuel) �� Not reachable Battery air flow (constr.) �� Constraint Min. inlet temperature �� Constraint Max. inlet temperature �� Constraint Max. electric power �� Constraint Cold air prevention limit �� Constraint Exceeded constraint limits should normally not occur. Not reachable designates objectives with an unreachable limit, meaning this its “panic” does never happen. C.3 Disturbance estimator settings Symbol Parameter Value �� Sample time for the disturbance estimator �� Values to use for derivative estimation 40 �� Cabin heat disturbance limit �� Humidity disturbance limit � ¡ �� Windscreen temperature disturbance limit �� 1This value is replaced depending on the ambient temperature. Below 15 ℃ the upper bound is taken, above 28 ℃ the lower bound.
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ISSN 0280-5316 ISRN LUTFD2/TFRT--58
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Diploma thesis subject Problem stat
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Acknowledgements ii Acknowledgement
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Acknowledgements iv 3.1.4 Windscree
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Acknowledgements vi 8.5 System simu
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Nomenclature viii Nomenclature Symb
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Nomenclature x Other symbols Symbol
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Nomenclature xii Subscript Descript
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1 Introduction Energy consumption t
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1 Introduction 3 adjustment of the
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2 Control objectives 5 2.1 Windscre
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2 Control objectives 7 2.2 Comfort
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2 Control objectives 9 � Metaboli
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2 Control objectives 11 ��
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2 Control objectives 13 Figure 2.6:
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2 Control objectives 15 2.4 Influen
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3 System description 17 or heat com
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3 System description 19 calculated
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3 System description 21 ��
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3 System description 23 � � �
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3 System description 25 defrost tem
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3 System description 27 Figure 3.4:
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3 System description 29 width modul
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3 System description 31 ��
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3 System description 33 shown in Fi
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3 System description 35 of performa
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4 Control strategy The main goal of
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4 Control strategy 39 limits are di
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4 Control strategy 41 ��
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4 Control strategy 43 cabin. This s
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4 Control strategy 45 controlled. T
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5 The disturbance estimator 47 in e
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6 The optimiser: an evolutionary al
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7 The HVAC-system controller 69 �
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7 The HVAC-system controller 71 7.5
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8 System and functionality integrat
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Page 115 and 116: 9 The MUTE project 95 order to fit
Page 117 and 118: 10 Hardware and characteristics of
Page 129 and 130: 11 Matlab implementation The climat
Page 131 and 132: 11 Matlab implementation 111 Only r
Page 133 and 134: 11 Matlab implementation 113 left i
Page 135 and 136: 11 Matlab implementation 115 tion a
Page 137 and 138: 12 Controller evaluation 117 ��
Page 139 and 140: 12 Controller evaluation 119 be not
Page 141 and 142: 12 Controller evaluation 121 Number
Page 143 and 144: 12 Controller evaluation 123 Table
Page 145 and 146: 12 Controller evaluation 125 In the
Page 147 and 148: 12 Controller evaluation 127 ��
Page 149 and 150: 13 Conclusion 129 13.2 Possible imp
Page 151 and 152: Bibliography [1] Holger Großmann.
Page 153 and 154: Bibliography 133 [22] M. Wang, T.M.
Page 155 and 156: Appendices
Page 157 and 158: B In- and outputs The interface bet
Page 159 and 160: Signal Unit Range Type Comment Stat
Page 161 and 162: In- and outputs 141 B.3 Error codes
Page 163 and 164: and system parameters 2 concentrati
Page 165: Simulation parameters 145 C.2 Contr
Page 169 and 170: Simulation parameters 149 C.5 Test
Page 171 and 172: Additional simulation results 151 D
Page 173 and 174: Optimiser code 153 real_T ∗panic_
Page 175 and 176: Optimiser code 155 52 return 10; 54
Page 177 and 178: Optimiser code 157 138 /∗ return
Page 179 and 180: Optimiser code 159 230 ∗/ ∗ ===
Page 181 and 182: Optimiser code 161 ∗ IMEA_breedin
Page 183 and 184: Optimiser code 163 414 } 416 } } st
Page 185 and 186: Optimiser code 165 if (sortedPop [
Page 187 and 188: Optimiser code 167 596 ∗ Printout
Page 189: Optimiser code 169 690 ∗ Latest R
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