Python Wing_param.get_dv_array方法代码示例

# 需要导入模块: from DLLM.DLLMGeom.wing_param import Wing_param [as 别名]
# 或者: from DLLM.DLLMGeom.wing_param.Wing_param import get_dv_array [as 别名]
wing_param.convert_to_design_variable('span',(10.,50.))
wing_param.convert_to_design_variable('sweep',(0.,40.))
wing_param.convert_to_design_variable('break_percent',(20.,40.))
wing_param.convert_to_design_variable('root_chord',(5.,7.))
wing_param.convert_to_design_variable('break_chord',(3.,5.))
wing_param.convert_to_design_variable('tip_chord',(1.,2.))
wing_param.convert_to_design_variable('root_height',(1.,1.5))
wing_param.convert_to_design_variable('break_height',(0.8,1.2))
wing_param.convert_to_design_variable('tip_height',(0.2,0.5))
wing_param.build_linear_airfoil(OC, AoA0=-2., Cm0=-0.1, set_as_ref=True)
wing_param.build_airfoils_from_ref()
wing_param.update()

print wing_param

x0=wing_param.get_dv_array()
print 'dv array shape',x0.shape
print 'dv_array=',x0

def f(x):
    wing_param.update_from_x_list(x)
    DLLM = DLLMTargetCl('Simple',wing_param,OC)
    DLLM.set_target_Cl(0.5)
    DLLM.run_direct()
    DLLM.run_post()
    func=DLLM.get_F_list()
    return func

def df(x):
    wing_param.update_from_x_list(x)
    DLLM = DLLMTargetCl('Simple',wing_param,OC)

# 需要导入模块: from DLLM.DLLMGeom.wing_param import Wing_param [as 别名]
# 或者: from DLLM.DLLMGeom.wing_param.Wing_param import get_dv_array [as 别名]

#.........这里部分代码省略.........
        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)]