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Commit db27b7ed authored by Meric Taneri's avatar Meric Taneri
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docs/documentation/analysis/constraint_analysis/index.md
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# Constraint Analysis {#mainpage} # Constraint Analysis {#mainpage}
One of the essential aspects of aircraft design is to size the aircraft to meet the point performance requirement. This process involves the evaluation of the constraints within the Thrust to Weight and Wing Loading design space. As the tool is "sizing" the aircraft, it requires information about the aerodynamic performance of the aircraft and the change of weight throughout the mission. Therefore this tool gets executed at the end of each loop to correctly size the aircraft. One of the essential aspects of aircraft design is to size the aircraft to meet the point performance requirement. This process involves the evaluation of the constraints within the Thrust to Weight and Wing Loading design space. As the tool is "sizing" the aircraft, it requires information about the aerodynamic performance of the aircraft and the change of weight throughout the mission. Therefore this tool gets executed at the end of each loop to correctly size the aircraft.
# Baseline Implementation
The constraint analysis tool is established with an energy based approach which is coming from Jack D. Mattingly's Aircraft Engine Design book.
# Module Configuration # Module Configuration
The module can be configured to meet specific user needs by selecting desired parameters within the program_settings section of the module config file. The module can be configured to meet specific user needs by selecting desired parameters within the program_settings section of the module config file.
A summary of possible selections can be found below: A summary of possible selections can be found below:
...@@ -29,6 +26,8 @@ A summary of possible selections can be found below: ...@@ -29,6 +26,8 @@ A summary of possible selections can be found below:
- `minimum_climb_rate`: The minimum climb rate required at the service ceiling, CS25 defines this parameter to be 100 ft/min which is equal to 0.508 m/s - `minimum_climb_rate`: The minimum climb rate required at the service ceiling, CS25 defines this parameter to be 100 ft/min which is equal to 0.508 m/s
- `safety_factor`: The additional percentage increment that is added to the Thrust to Weight ratio
# Module Output # Module Output
- `Updated Design Point`: An updated Thrust to Weight and Wing Loading pair - `Updated Design Point`: An updated Thrust to Weight and Wing Loading pair
... ...
......
docs/documentation/analysis/constraint_analysis/principles.md
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...@@ -14,6 +14,9 @@ The end-of-the-loop aircraft’s aerodynamic performance is different to that of ...@@ -14,6 +14,9 @@ The end-of-the-loop aircraft’s aerodynamic performance is different to that of
Point performance requirements are evaluated as constraints within the $T_{SL}/W_{TO}$ – $W_{TO}/S_{Ref}$ design space. The point is selected to have the minimum $T_{SL}/W_{TO}$ possible value that lies in the feasible space. Point performance requirements are evaluated as constraints within the $T_{SL}/W_{TO}$ – $W_{TO}/S_{Ref}$ design space. The point is selected to have the minimum $T_{SL}/W_{TO}$ possible value that lies in the feasible space.
# Baseline Implementation
The constraint analysis tool is established with an energy based approach which is coming from Jack D. Mattingly's Aircraft Engine Design book.
## Derivation ## Derivation
1\. Lift Equation (getCL): 1\. Lift Equation (getCL):
...@@ -233,19 +236,11 @@ weight_fraction_TO (taken from the mission analysis results), ...@@ -233,19 +236,11 @@ weight_fraction_TO (taken from the mission analysis results),
## Updating the Design Point ## Updating the Design Point
min_finder.find_dominant_curve();
double sf = this->configuration_xml->at("module_configuration_file/program_settings/safety_factor/value");
min_finder.find_design_point(sf);
min_finder.update_design_point();
Steps: Steps:
1. Find the dominant curve: Takes the max T/W required at each W/S, hence gets the constraining curve 1. Find the dominant curve: Takes the max $T_{SL}/W_{TO}$ required at each $W_{TO}/S_{Ref}$, hence gets the constraining curve
2. Read the “safety factor” which adds the desired increment to the minimum T/W for additional safety. (CAN BE VARIED EACH ITERATION FOR FASTER CONVERGENCE) 2. Read the “safety factor” which adds the desired increment to the minimum $T_{SL}/W_{TO}$ for additional safety.
3. Find the minimum T/W from the dominant curve, get the W/S value corresponding to this T/W 3. Find the minimum $T_{SL}/W_{TO}$ from the dominant curve, get the $W_{TO}/S_{Ref}$ value corresponding to this $T_{SL}/W_{TO}$
1. Not an “optimization”, just a sorting algorithm 1. Not an “optimization”, just a sorting algorithm
2. Does not interpolate between points 2. Does not interpolate between points
4. Update the design point 4. Update the design point
...@@ -264,7 +259,10 @@ Steps: ...@@ -264,7 +259,10 @@ Steps:
4. Assemble the constraints 4. Assemble the constraints
5. Find the dominant curve 5. Find the dominant curve
6. Evaluate the feasible area 6. Evaluate the feasible area
7. Find the minimum T/W from the dominant curve and get the W/S that corresponds to this T/W 7. Find the minimum $T_{SL}/W_{TO}$ from the dominant curve and get the W/S that corresponds to this $T_{SL}/W_{TO}$
8. Update the design point 8. Update the design point
9. Plot the results 9. Plot the results
10. Save the plots 10. Save the plots
## Example Output
![](figures/constraint_plot.png)
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