[an error occurred while processing this directive]




FC Coding is
One step from 1st Principles to Solution!

Home

Pilot Ejection from aircraft demo

Pilot Ejection Equations of motion
_________

Using a calculus level language, e.g. FC-Compiler, we'll show how to solve linear, nonlinear, implicit, algebraic, laplace transforms, differential equations, or systems of such equations in a minimum of time while tweaking parameter(s) to meet user's requirements. Most math models may be solved in a few days, once your equations are ready for compiling.

Solution accuracy improves due to the behind the scene use of Automatic Differentiation (AD). For a mental picture of what's going on, think of AD as taking symbolic derivatives of the equations involved in your model and evaluating these derivatives at given points. Derivative accuracy is thus as accurate as your computer allows.



Key statements for Calculus-level Programming:

The 'Find ...' statement is key to Calculus-level programming.

Find a, b, c, ...; in Seat; ...

This is a general form where 'a, b, c, ...' represent parameters to vary in routine/model 'Seat' until objective/goal is achieved; i.e. gx=0 & gy=0 (see code below).

Enjoy learning Calculus-level Programming!

Pilot Eject Equations Source Code:



      global all
      problem eject  ! pilot ejection profile
C ------------------------------------------------------------------------
C --- Calculus Programming example: ODE Boundary value problem
C ------------------------------------------------------------------------
        dimension alt(6),vel(6)
        character fcsint*2,plane*7
        data alt/0,10000,20000,30000,40000,50000/ 
        smass=7 : g=32.2 : cd=1 : ve=40 : thetad=15 : time=1.0
        s=10 : y1=4 : va=100
        do 10 i=1,6
          h=alt(i) : it=0 : plane='plane'//fcsint(i)
          @axes(plane,'Pilot Ejection')
          if(h.le.35332) then
             rho=0.002378*(1-.689e-5*h)**4.256
          else
             rho=0.00315/exp(1.452+(h-35332)/20950)
          end if
           Find va,time; in seat(plane); by AJAX(acon); to match gx,gy
          @display(plane)
          vel(i)=va
   10   continue
        @safe('profile')
      end

      controller acon(AJAX)
        damp=0
      end

      model seat(plane)
        character*2 fcsint,ni,plane*7
        vx=sqrt(va**2)-ve*sind(thetad) : vy=ve*cosd(thetad)
        v=sqrt(vx*vx+vy*vy) : theta=atan(vy/vx)
        x=0 : y=y1 : t=0 : dt=abs(time)/20 : dp=4*dt : tp=t+dp
        it=it+1 : ni=fcsint(it)  
        if(it.gt.9) then
            @point(plane,'i'//ni,x,y)       
        else
            @curve(plane,'i'//ni,x,y)
        end if
        initiate isis; for motion; equations
     &     thedot/theta, vdot/v, xdot/x, ydot/y; of t; step dt; to tp
        do while (t.lt.time)
          integrate motion; by isis
          @curve(plane,'i'//ni,x,y)          
          tp=tp+dp
        end do
        gx=-x-30     ! boundary condition on x at t=time
        gy=y-20      ! boundary condition on y at t=time
        terminate motion
      end

      model motion   ! differential equations
        d=0.5*rho*cd*s*v*v
        thedot=-g*cos(theta)/v
        vdot=-d/smass-g*sin(theta)
        xdot=v*cos(theta)-abs(va)
        ydot=v*sin(theta)
      end

The above code finds a math solution to this problem.
The next code displays some graphs to help user 'picture' what is going on. These graphs are not required to solve this problem.


      procedure axes(name,title)
        character*(*) name,title
        dimension p1(2,6),p2(2,11),tg(2,9)
        data p1/8.7,0,8.9,.5,7.75,1.5,5,2.2,2.2,3.8,1.8,2.8/
        data p2/5,2.2,1.8,2.8,.25,3.1,-0.1,4.0,-21,3.75,-25,3.9,
     &          -26.3,4.75,-29.2,11,-30,12,-32.2,12,-30.3,0/
        data tg/-30.6,19.4,-30,19.15,-29.4,19.4,-30.6,20.6,-30,20.85,
     &          -29.4,20.6,-30.6,19.4,-30.85,20,-30.6,20.6/
        @graph(name,'2dgraph')
        @chrsize(0.05)
        @frame(0,.5,5,4)
        @window(name,50,500,30,400,-30,0,0,30,0,0,0,1,1.5)
        @xaxis(name,-30,0,10,0,1,1)
        @yaxis(name,0,30,10,0,1,1)
        @setup(name,'i1',0,11,-2,0) ! 1st iteration (blue)
        @setup(name,'i2',0,2,-2,0) ! 2nd iteration (green)
        @setup(name,'i3',0,3,-2,0) ! 3rd iteration (cyan)
        @setup(name,'i4',0,4,-2,0) ! 4th iteration (red)
        @setup(name,'i5',0,5,-2,0) ! 5th iteration (magenta)
        @setup(name,'i6',0,6,-2,0) ! 6th iteration (orange)
        @setup(name,'i7',0,7,-2,0) ! 7th iteration (white)
        @setup(name,'i8',0,9,-2,0) ! 8th iteration (light blue)
        @setup(name,'i9',0,10,-2,0) ! 9th iteration (light green)
        @setup(name,'p1',0,7,-2,0) ! plane outline 1 (light blue)
        @setup(name,'p2',0,7,-2,0) ! plane outline 2 (light blue)
        @setup(name,'tg',0,12,-2,0) ! target (light red)
        @label(name,20,title,7,50,420,0)
        @label(name,8,'Altitude',7,200,400,0)
        @number(name,300,400,h,8)
        do 10 j=1,6
          @curve(name,'p1',p1(1,j),p1(2,j))
  10   	continue
        do 20 j=1,11
          @curve(name,'p2',p2(1,j),p2(2,j))
  20    continue
        do 30 j=1,9
          @curve(name,'tg',tg(1,j),tg(2,j))
  30    continue
        return
C
        entry display(name)
        @label(name,5,'Speed',7,200,380,0)
        @number(name,300,380,va,8)
        @show(name)
      end

      procedure safe(gname)
        character*(*) gname
        @graph(gname,'2dgraph')
        @window(gname,100,500,50,400,200,800,0,50000,200,0,0,1,1.5)
        @xaxis(gname,200,800,200,0,1,1)
        @yaxis(gname,0,50000,10000,0,1,1)
        @xclabel(gname,5,'Speed',7) 
        @yelabel(gname,8,'Altitude',7)
        @setup(gname,'pp',0,0,ichar('*'),14) ! profile points (yellow *'s)
        @setup(gname,'cr',0,10,-2,0) ! profile curve (light green)
        @label(gname,21,'Safe Ejection Profile',7,150,420,0)
        do 10 j=1,6
          @point(gname,'pp',vel(j),alt(j))
          @curve(gname,'cr',vel(j),alt(j))
   10   continue
        @show(gname)
      end

Pilot Ejection Equations Output:



Pilot (safe) Ejection Example

Output shows several plot files (like this one to the right) and a summary plot titled 'Safe Ejection Profile'. Plots require a lot of code relative to solving a math problem! Fortunately, basic plot code is easily copied between apps with minor changes to code.




(DO 10 i=1,6 ... 1st loop output from 'find' stmt.)
		  
		  --- AJAX SUMMARY, INVOKED AT EJECT[25] FOR MODEL SEAT ----             


   CONVERGENCE CONDITION AFTER  5 ITERATIONS
      UNKNOWNS CONVERGED
      CONSTRAINTS SATISFIED
      ALL SPECIFIED CRITERIA SATISFIED


 LOOP NUMBER .........   [INITIAL]         1              2
 UNKNOWNS
   VA                  1.000000E+02  2.536099E+02  2.502373E+02
   TIME                1.000000E+00  4.889347E-01  6.185860E-01
 CONSTRAINTS
   GX                  5.923573E-01 -7.837109E+00  3.713794E-01
   GY                  4.787695E+00 -2.346940E+00 -3.065783E-01


 LOOP NUMBER .........   [INITIAL]         3              4
 UNKNOWNS
   VA                  1.000000E+02  2.377807E+02  2.379490E+02
   TIME                1.000000E+00  6.344608E-01  6.345711E-01
 CONSTRAINTS
   GX                  5.923573E-01 -2.705302E-02  1.297491E-05
   GY                  4.787695E+00 -4.164254E-05 -4.704651E-07


 LOOP NUMBER .........   [INITIAL]         5
 UNKNOWNS
   VA                  1.000000E+02  2.379489E+02
   TIME                1.000000E+00  6.345710E-01
 CONSTRAINTS
   GX                  5.923573E-01  2.923883E-12
   GY                  4.787695E+00 -1.421085E-14


---END OF LOOP SUMMARY





--- AJAX SUMMARY, INVOKED AT EJECT[25] FOR MODEL SEAT ----             


   CONVERGENCE CONDITION AFTER  3 ITERATIONS
      UNKNOWNS CONVERGED
      CONSTRAINTS SATISFIED
      ALL SPECIFIED CRITERIA SATISFIED


 LOOP NUMBER .........   [INITIAL]         1              2
 UNKNOWNS
   VA                  2.379489E+02  2.815858E+02  2.806970E+02
   TIME                6.345710E-01  6.203815E-01  6.192025E-01
 CONSTRAINTS
   GX                 -3.184507E+00  1.722351E-01  4.900175E-04
   GY                  4.815811E-01  1.101312E-02 -3.919713E-05


 LOOP NUMBER .........   [INITIAL]         3
 UNKNOWNS
   VA                  2.379489E+02  2.806918E+02
   TIME                6.345710E-01  6.192031E-01
 CONSTRAINTS
   GX                 -3.184507E+00  3.608125E-09
   GY                  4.815811E-01  1.031175E-10


---END OF LOOP SUMMARY

ooo		  

HTML code for linking to this page:



<a href="https://goal-driven.net/example/pilot-eject.html"><img style="float:left; width:100px" src="https://goal-driven.net/image/fc-compiler-icon.png"/> <strong>Pilot Ejection Equations </strong> </a > , Finds safe altitude and speed for eject.

Go to top

< < Back

Top of Category > >

 
Valid CSS! Calculus (level) Problem-Solving for Engineers & Scientists

Textbooks - Parameter Estimation 4 ODE/PDE - Signal Analysis / Spectral Estimation - Body Plasma - Solar Cell
Increasing Productivity Examples: AC Motor Design - Matched Filters - Pulse Slimming / InterSymbol Interference - Pilot (safe) Ejection - PharmacoKinetics Simulation - Business Strategies & War Gaming - BVP - Implicit Equations