def f2(x):
     wing_param.update_from_x_list(x)
     DLLM = DLLMTargetLift('Simple',wing_param,OC)
     DLLM.set_target_Lift(769200.)
     DLLM.run_direct()
     DLLM.run_post()
     func=DLLM.get_F_list()
     return func/Ref_list
Ejemplo n.º 2
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 def f2(x):
     wing_param.update_from_x_list(x)
     DLLM = DLLMTargetLift('Simple', wing_param, OC)
     DLLM.set_target_Lift(769200.)
     DLLM.set_F_list_names(F_list_names)
     DLLM.run_direct()
     DLLM.run_post()
     func = DLLM.get_F_list()
     return func
Ejemplo n.º 3
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 def test_DLLM_valid_TLift(self):
     OC, wing_param = self.__init_wing_param()
     DLLM = DLLMTargetLift('Simple', wing_param, OC)
     DLLM.set_target_Lift(769200.)
     DLLM.run_direct()
     DLLM.run_post()
     F_list = DLLM.get_F_list()
     F_list_names = DLLM.get_F_list_names()
     lift_index = F_list_names.index('Lift')
     Lift = F_list[lift_index]
     assert (abs(Lift - 769200.) < 1.e-2)
    def test_DLLM_valid_TLift(self):
        OC,wing_param = self.__init_wing_param()
        DLLM = DLLMTargetLift('Simple',wing_param,OC)
#         F_list=DLLM.get_F_list()
        F_list_names=DLLM.get_F_list_names()
        DLLM.set_target_Lift(769200.)
        DLLM.run_direct()
        DLLM.run_post()
        F_list=DLLM.get_F_list()
        F_list_names=DLLM.get_F_list_names()
        print F_list_names
        lift_index = F_list_names.index('Lift')
        Lift=F_list[lift_index]
        assert(abs(Lift-769200.)<1.e-2)
   def test_DLLM_valid_grad_TLift(self):
       OC,wing_param = self.__init_wing_param()
       x0=wing_param.get_dv_array()
       
       DLLM = DLLMTargetLift('Simple',wing_param,OC)
       DLLM.set_target_Lift(769200.)
       DLLM.run_direct()
       DLLM.run_post()
       Ref_list=DLLM.get_F_list()
 
       def f2(x):
           wing_param.update_from_x_list(x)
           DLLM = DLLMTargetLift('Simple',wing_param,OC)
           DLLM.set_target_Lift(769200.)
           DLLM.run_direct()
           DLLM.run_post()
           func=DLLM.get_F_list()
           return func/Ref_list
         
       def df2(x):
           wing_param.update_from_x_list(x)
           DLLM = DLLMTargetLift('Simple',wing_param,OC)
           DLLM.set_target_Lift(769200.)
           DLLM.run_direct()
           DLLM.run_post()
           DLLM.run_adjoint()
           func_grad=np.array(DLLM.get_dF_list_dchi())
           N = func_grad.shape[0]
           ndv = func_grad.shape[1]
           out_grad = np.zeros((N,ndv))
           for i in xrange(N):
               out_grad[i,:] = func_grad[i,:]/Ref_list[i]
           return out_grad
     
       val_grad2=FDValidGrad(2,f2,df2,fd_step=1.e-8)
       ok2,df_fd2,df2=val_grad2.compare(x0,treshold=1.e-5,split_out=True,return_all=True)
       assert(ok2)
Ejemplo n.º 6
0
wing_param=Wing_Elliptic('elliptic_wing',n_sect=20)
wing_param.import_BC_from_file('input_parameters.par')
wing_param.build_linear_airfoil(OC, AoA0=0.0, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()

print wing_param

x0=wing_param.get_dv_array()

DLLM = DLLMTargetLift('Simple',wing_param,OC)
DLLM.set_target_Lift(769200.)
DLLM.run_direct()
DLLM.run_post()
Ref_F = DLLM.get_F_list()

def f(x):
    wing_param.update_from_x_list(x)
    DLLM = DLLMTargetLift('Simple',wing_param,OC)
    DLLM.set_target_Lift(769200.)
    DLLM.run_direct()
    DLLM.run_post()
    func=DLLM.get_F_list()/Ref_F
    return func

def df(x):
    wing_param.update_from_x_list(x)
    DLLM = DLLMTargetLift('Simple',wing_param,OC)
    DLLM.set_target_Lift(769200.)
    DLLM.run_direct()
Ejemplo n.º 7
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class DLLMOpenMDAOComponent(Component):
    # set up interface to the framework
    # pylint: disable-msg=E1101
    # Outputs of lifting line problem
    """OpenMDAO component for DLLM implementation
    """
    
    Lift = Float(iotype='out', desc='Lift')
    Drag = Float(iotype='out', desc='Drag')
    Drag_Pressure = Float(iotype='out', desc='Drag_Pressure')
    Drag_Induced = Float(iotype='out', desc='Drag_Induced')
    Drag_Wave = Float(iotype='out', desc='Drag_Wave')
    Drag_Friction = Float(iotype='out', desc='Drag_Friction')
    Cd = Float(iotype='out', desc='Cd')
    Cdp = Float(iotype='out', desc='Cdp')
    Cdi = Float(iotype='out', desc='Cdi')
    Cdw = Float(iotype='out', desc='Cdw')
    Cdf = Float(iotype='out', desc='Cdf')
    Cl = Float(iotype='out', desc='Cl')
    LoD = Float(iotype='out', desc='LoD')
    Sref = Float(iotype='out', desc='Sref')

    # Design variables of lifting line problem
    rtwist = Array([], desc='rtwist', iotype="in")
    span = Float(desc='span', default_value=34., iotype="in")
    sweep = Float(desc='sweep', default_value=34., iotype="in")
    break_percent = Float(desc='break_percent', default_value=33., iotype="in")
    root_chord = Float(desc='root_chord', default_value=6.1, iotype="in")
    break_chord = Float(desc='break_chord', default_value=4.6, iotype="in")
    tip_chord = Float(desc='tip_chord', default_value=1.5, iotype="in")
    root_height = Float(desc='root_height', default_value=1.28, iotype="in")
    break_height = Float(desc='break_height', default_value=0.97, iotype="in")
    tip_height = Float(desc='tip_height', default_value=0.33, iotype="in")
    # Operating conditions variables
    Mach = Float(iotype='in', default_value=0.7, desc='Mach')
    altitude = Float(iotype='in', default_value=10000., desc='Altitude')
    T0 = Float(iotype='in',default_value=OperatingCondition.T0,
        desc='Ground ISA ref Temperature')
    P0 = Float(iotype='in',default_value=OperatingCondition.P0,
        desc='Ground ISA ref Pressure')

    def __init__(self,Target_Lift, N = 10, verbose=0):
        """Initialization of DLLM component.
        DLLM component use target lift capability of DLLM kernel
            @param Target_Lift : the targeted lift value (float)
            @param N : integer. Number of discrete section on 1/2 wing
            @param verbose : integer : verbosity level
        """
        try :
            float(Target_Lift)
        except:
            raise ValueError('You MUST define a float target lift value, get '+str(Target_Lift)+' instead.')

        self.Target_Lift = Target_Lift
        self.N = N
        self.OC = None
        self.rtwist = np.zeros(N)
        self.__display_wing_param = True
        self.__verbose = verbose
        self.__wing_param = None
        super(DLLMOpenMDAOComponent, self).__init__()        
        self.OC = OperatingCondition(tag='DLLMOC', atmospheric_model='ISA')
        self.__set_OC_values()
        self.__set_wing_param()
        self.__DLLM = DLLMTargetLift('test', self.__wing_param,
                                   self.OC, verbose=self.__verbose)
        self.__DLLM.set_target_Lift(Target_Lift)
        self.__DLLM.run_direct()
        self.__DLLM.run_post()

    def __set_wing_param(self, wing_param_name='test_param'):
        """Method for wing parameters setting : design variables initial values and bounds
        @param wing_param_name : wing parametrization names
        """
        self.__set_wing_param_values(wing_param_name=wing_param_name)

        self.__set_wing_param_bounds()
        self.__wing_param.build_linear_airfoil(self.OC, AoA0=-2., Cm0=-0.1, set_as_ref=True)
        self.__wing_param.build_airfoils_from_ref()
        self.__wing_param.update()

        if self.__display_wing_param:
            self.__display_wing_param = False
            print self.__wing_param

    def __set_wing_param_values(self, wing_param_name='test_param'):
        """Method for wing parameters variables setting
        @param wing_param_name : wing parametrization names
        """
        self.__wing_param = Wing_param(wing_param_name,
                                     geom_type='Broken', n_sect=self.N * 2)
        self.__wing_param.build_wing()
        for i in xrange(self.N):
            self.__wing_param.set_value('rtwist%s' % i, 0.)
        for param in Wing_param.DISCRETE_ATTRIBUTES_LIST:
            self.__wing_param.set_value(param, getattr(self, param))

    def __set_wing_param_bounds(self):
        """Method for desing variables bounds settings
        Values are set to inf/-inf in DLLM component and their 'real' bounds
        are defined when optimization problem is set
        """
        for i in xrange(self.N):
            self.__wing_param.convert_to_design_variable(
                'rtwist%s' % i, (-float('inf'), float('inf')))
        for param in Wing_param.DISCRETE_ATTRIBUTES_LIST:
            self.__wing_param.convert_to_design_variable(param, (-float('inf'), float('inf')))
        return

    def __set_OC_values(self):
        """ Set default operating conditions"""
        self.OC.set_Mach(self.Mach)
        self.OC.set_altitude(self.altitude)
        self.OC.set_T0(self.T0)
        self.OC.set_P0(self.P0)
        self.OC.set_humidity(0.)
        self.OC.compute_atmosphere()
    
    def __update_wing_parame_values(self):
        for dv_id in self.__wing_param.get_dv_id_list():
            if dv_id.startswith('rtwist'):
                i_twist = int(dv_id.replace('rtwist', ''))
                self.__wing_param.set_value(dv_id, self.rtwist[i_twist])
            else:
                self.__wing_param.set_value(dv_id,getattr(self,dv_id))
        self.__wing_param.build_linear_airfoil(self.OC, AoA0=-2., Cm0=-0.1, set_as_ref=True)
        self.__set_wing_param_bounds()
        self.__wing_param.build_airfoils_from_ref()
        self.__wing_param.update()
        return

    def execute(self):
        """ Perform a DLLM computation with the """
        self.__update_wing_parame_values()        
        self.__set_OC_values()
        self.__DLLM.set_target_Lift(self.Target_Lift)
        self.__DLLM.run_direct()
        self.__DLLM.run_post()
        output = self.__DLLM.get_F_list()
        for f, f_name in zip(output, self.__DLLM.get_F_list_names()):
            setattr(self, f_name, f)

    def list_deriv_vars(self):
        """specify the inputs and outputs where derivatives are defined
        Specific treatment for twist : defined as rtwist0, rtwist1,... in DLLM
        but as an array rtwist in openmdao component"""

        out_dvid = []
        for dv_id in self.__wing_param.get_dv_id_list():
            if dv_id.startswith('rtwist0'):
                out_dvid.append('rtwist')
            elif not dv_id.startswith('rtwist'):
                out_dvid.append(dv_id)
        return tuple(out_dvid), tuple(self.__DLLM.get_F_list_names())

    def provideJ(self):
        """Calculate the Jacobian according inputs and outputs"""
        self.__DLLM.run_adjoint()
        return np.array(self.__DLLM.get_dF_list_dchi())

    def get_F_list(self):
        return self.__DLLM.get_F_list()

    def get_F_list_names(self):
        return self.__DLLM.get_F_list_names()
    
    def get_dv_array(self):
        return self.__wing_param.get_dv_array()
    
    def get_dv_id_list(self):
        return self.__wing_param.get_dv_id_list()
    
    def get_dv_info_list(self):
        return self.__wing_param.get_dv_info_list()
    
    def get_dv_value(self,dv_id):
        return self.get_dv_array()[self.get_dv_id_list().index(dv_id)]