Developement Of A Batch Mode For Conduit And Its ... - Cal Poly

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1.1 The Structure of CONDUIT 1.1.1 Fundamental Structure Optimization commands TCL 〈 Main controlling component 〈 Graphical User Interface Optimization status Passing of data and commands of the current operation COMATLAB 〈 Optimization Optimization results Simulation and parameter data MATLAB 〈 System Modeling 〈 Data Management 〈 Graphical display of results Figure 3 – Coding structure of CONDUIT CONDUIT is made up of three major components. First, the main GUI is written in the TCL scripting language and serves as the main controlling component. Most all processes are invoked in one way or another from the TCL code. The second component is CONSOL-OPTCAD which, in the latest version of CONDUIT, is written as a MATLAB CMEX function and is thus renamed to COMATLAB. As it is derived from the original CONSOL-OPTCAD code, it is the core of the optimization. However, it does not control the optimization, but merely operates under the control of the TCL code. While the TCL code controls almost every aspect of CONDUIT, it does not handle the computations and data itself. Rather, CONDUIT uses the MATLAB environment, the third component of CONDUIT, to manage all data and calculations. In addition to it 5
eing ideal for the computations necessary for control analysis, MATLAB provides the Simulink environment, allowing the user to easily construct a model of the control system. Finally, MATLAB provides great flexibility for graphically displaying the results, using the many pre-existing plotting functions of the MATLAB Control Toolbox. While these three components make up the basis of CONDUIT, there are several other smaller components within these three which provide the functionality behind CONDUIT. These smaller components will be discussed in the following sections, to the extent of providing a basis for the explanation of Batch Mode. Furthermore, they will be explained with respect to the two operating modes of CONDUIT: Setup Mode, in which the CONDUIT problem is created, and Run Mode, which is used to optimize the problem and analyze the results. 1.1.2 Block Diagram (Setup Mode) All simulation is performed in the MATLAB environment. Thus, the model of the aircraft and the control system itself must be simulated in MATLAB, using its modeling and simulation capabilities of the MATLAB Simulink environment. Simulink is a graphical simulation tool that allows the user to build control systems in block diagram form. 6
Page 1 and 2: THE DEVELOPMENT OF A BATCH MODE FOR
Page 3 and 4: APPROVAL PAGE TITLE: The Developmen
Page 5 and 6: ACKNOWLEDGEMENTS I would like to th
Page 7 and 8: 3.2 BASELINE OPTIMIZATION..........
Page 9 and 10: LIST OF FIGURES FIGURE 1 - COOPER-H
Page 11 and 12: Acronyms NOMENCLATURE ASE - Automat
Page 13 and 14: This rating system was used in conj
Page 15: Figure 2 - CONDUIT specs As in the
Page 19 and 20: They are typically used as gains, h
Page 21 and 22: stability of the system, checking p
Page 23 and 24: • Time Line - The time response i
Page 25 and 26: 1.1.6 Init File (Setup Mode) One la
Page 27 and 28: 1.1.8 Pcomb (Run Mode) Figure 10 -
Page 29 and 30: 1.2 Method of Optimization A CONDUI
Page 31 and 32: Thus, different step sizes would be
Page 33 and 34: attempt to push the objective specs
Page 35 and 36: the Sensitivity Tools, which are us
Page 37 and 38: The Sensitivity Tools looks at the
Page 39 and 40: to have very high Cramer Rao percen
Page 41 and 42: means to create, modify, and save t
Page 43 and 44: eing opened by a regular session of
Page 45 and 46: in Figure 19. The Batch Mode GUI is
Page 47 and 48: window, within each Mode, the Displ
Page 49 and 50: The File menu contains the commands
Page 51 and 52: Setup, Run, and Analysis, so are th
Page 53 and 54: Figure 24 - General setup window
Page 55 and 56: the casual observer is that since t
Page 57 and 58: Once the new column is added, the u
Page 59 and 60: specific. The method fails when the
Page 61 and 62: 2.3.3 Run Mode GUI Figure 27 - Run
Page 63 and 64: not make any improvements. As with
Page 65 and 66: specific run order is not required,
Page 67 and 68:
Order Cases, and Mode buttons all b
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uttons, a zoom out feature, and ove
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Plot 1 Page 1 Plot 2 Display Area P
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same way as in Run Mode. Two window
Page 75 and 76:
Figure 35 - Multiple case plot The
Page 77 and 78:
Figure 37 - Add/Edit/Remove Plot GU
Page 79 and 80:
Figure 38 - New Gain Schedule plot
Page 81 and 82:
Figure 39 - Multiple page concept 7
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the user may choose to freeze addit
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In the case above, if there were an
Page 87 and 88:
parameter 8 would not resolve the c
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The logic of the table above is sim
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process would repeat until all Cram
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opponent. The computer would then r
Page 95 and 96:
Figure 45 - Example Cramer Rao plot
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method are exceeded, the result wou
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this capability to the automated ru
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not exorbitantly large, and thus th
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connected through mechanical linkag
Page 105 and 106:
Figure 52 - Control System block Th
Page 107 and 108:
Figure 54 - Roll - Attitude Hold bl
Page 109 and 110:
chosen for the template was that of
Page 111 and 112:
Figure 58 - Initial Optimized basel
Page 113 and 114:
integrator in the lateral controlle
Page 115 and 116:
only the four lateral gains were ac
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GUI, ten more cases were added usin
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the Plot Multiple feature of the An
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method was causing problems. Thus t
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Figure 67 - Corrected gain schedule
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constant, and the remaining stabili
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simpler parameters, it provided gre
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was then started by pressing the Ru
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of the critical parameters, however
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simply because the system is not a
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The HQ Window, as developed already
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not, then the specs most critical t
Page 139 and 140:
BIBLIOGRAPHY 1. Frost, Chad R. “D
Page 141:
APPENDIX 130
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