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

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10 Hardware and characteristics of the MUTE prototype 106 controlled in order allow more fuel saving recirculation. A list of all available in- and outputs is found in Appendix B. 10.6 The user interface The user interface will be realised on an Apple iPad 2. The control signals are sent over a wireless network and a car-bus system to the controller. A proposal for the interface with the options defined in Section 8.4 can be seen in Figure 10.8. �� Figure 10.8: A proposal for the user interface. In the manual mode all the outputs (heater, fan, air distribution) can be directly controlled giving a maximum of control to the user. Only the air recirculation control was for simplicity reduced to the common “yes or no” button. The goal in automatic mode is to have only the necessary options in order to distract as little as possible. Consequently, as the MUTE has no means of dehumidification, the humidity adaption is not available (the objective still is implemented). The air speed objective is not available as no direct air flow towards the passenger exists. Only the temperature preference can be set. The defrost mode is available in the automatic mode in order to force the control to bring warm air to the windscreen, for example if the fogging detection fails. In addition, the precondition mode is realised, used to create a comfortable climate in the car before the passenger starts driving. It can be activated by a signal coming from
10 Hardware and characteristics of the MUTE prototype 107 the remote control. 10.7 Computer and electrics The climate control software (as well as the other real-time components) was built in Matlab Simulink. In the prototype it will run on a dSpace MicroAutoBox 1401. This platform for in-vehicle function prototyping offers interfaces to all major automotive bus systems and digital as well as analogue in- and outputs. It integrates an IBM PPC 750FX processor running at a frequency of 800 MHz. The main memory is 8 megabytes and the nonvolatile flash memory 16 megabytes big. �� Figure 10.9: Overview of the output interface and its hard- and software components. In Figure 10.9, an overview of the output interface with the involved software and electric components is shown. The servo motors driving the flaps and the potentiometer setting the set-temperature for the heater require another small controller. It takes the set-angle value from the climate control and outputs the logical signals “turn clockwise” ��
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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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Page 75 and 76: 6 The optimiser: an evolutionary al
Page 89 and 90: 7 The HVAC-system controller 69 �
Page 91 and 92: 7 The HVAC-system controller 71 7.5
Page 93 and 94: 8 System and functionality integrat
Page 115 and 116: 9 The MUTE project 95 order to fit
Page 117 and 118: 10 Hardware and characteristics of
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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 and 166: Simulation parameters 145 C.2 Contr
Page 167 and 168: Simulation parameters 147 Panic han
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
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Optimiser code 157 138 /∗ return
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Optimiser code 159 230 ∗/ ∗ ===
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Optimiser code 161 ∗ IMEA_breedin
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Optimiser code 163 414 } 416 } } st
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Optimiser code 165 if (sortedPop [
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Optimiser code 167 596 ∗ Printout
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Optimiser code 169 690 ∗ Latest R
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