【问题标题】:Solving system of four nonlinear equations求解四个非线性方程组
【发布时间】:2018-08-23 21:34:57
【问题描述】:

我正在尝试使用来自scipy.optimize 模块的 fsolve 求解四个非线性方程组。雅可比矩阵 (fjac) 用 nan 填充。我不明白我做错了什么。我一直在寻找类似的问题,但没有一个与我的问题相似,这使我得出结论,我的尝试存在根本性错误。

我的代码:

import numpy as np
from scipy.optimize import fsolve
import math

#Constants
Cn = 1.0
Cf = 0.8
Nn = 3.0
gamma = 1.4
R = 287.1 #J/kg*K
dn = 0.5 * 25.4 #mm
df = 2.1516 * 25.4 #mm
dv = 1.8553 * 25.4 #mm
dbt = 0.89 * 25.4 #mm
Tb = (40 + 273.15) #K
Pr = (13 + 1.01325) * 10 ** 5 #N/m2

guess_massflow = 0.3 # kg/s
guess_Pc = 12 * 10 ** 5 #N/m2
guess_Pb = 10 * 10 ** 5 #N/m2
guess_Ps = 14 * 10 ** 5 #N/m2

def f(p):

    massflow, Pb, Pc, Ps = p

    def pi_mod(d):
        return (math.pi * d ** 2) / 4 * 10 ** (-6)
    major_mod = Nn * Cn * Pb / (Tb ** 0.5)
    radical = (gamma + 1)/(gamma - 1)
    minor_mod = (gamma / R * (2 / (gamma + 1)) ** radical) ** 0.5

    radical2 = (gamma - 1) / gamma

    def main_mod(P1, P2):
        return P2 * (1/R/Tb * 2/radical2 * (P1/P2) ** (2/gamma) * (1 - (P1/P2) ** radical2)) ** 0.5

    f1 = massflow - major_mod * pi_mod(dn) * minor_mod
    f2 = massflow - Cf * pi_mod(df) * main_mod(Pb,Pc)
    f3 = massflow - Cf * pi_mod(dbt) * main_mod(Pc,Ps)
    f4 = massflow - Cf * pi_mod(dv) * main_mod(Ps,Pr)

    return (f1, f2, f3, f4)

solution = fsolve(f, (guess_massflow, guess_Pb, guess_Pc, guess_Ps), full_output = True)

输出:

(array([  3.00000000e-01,   1.10000000e+06,   1.10000000e+06,
     1.10000000e+06]), {'nfev': 19, 'fjac': array([[ nan,  nan,  nan,  nan],
   [ nan,  nan,  nan,  nan],
   [ nan,  nan,  nan,  nan],
   [ nan,  nan,  nan,  nan]]), 'r': array([ nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan]), 'qtf': array([ nan,  nan,  nan,  nan]), 'fvec': array([-0.65463805,  0.3       ,  0.3       , -3.45205928])}, 5, 'The iteration is not making good progress, as measured by the \n  improvement from the last ten iterations.')

我已尝试使用 Mathcad 解决此问题。解收敛到,这是现实的:

[0.717255, 8.264713*10^5, 8.344225*10^5, 1.392793*10^6]

【问题讨论】:

    标签: optimization scipy


    【解决方案1】:

    我认为问题出在求解器用P1>P2 调用main_mod(P1, P2) 时,所以在这种情况下我强制函数返回零...我不知道它是否在物理上是正确的...但是它似乎工作:

    import numpy as np
    from scipy.optimize import fsolve
    import math
    
    #Constants
    Cn = 1.0
    Cf = 0.8
    Nn = 3.0
    gamma = 1.4
    R = 287.1 # J/kg/K  
    dn = 0.5 * 25.4 # mm
    df = 2.1516 * 25.4 # mm
    dv = 1.8553 * 25.4 # mm
    dbt = 0.89 * 25.4 # mm
    Tb = (40 + 273.15) # K
    Pr = (13 + 1.01325) * 1e5 # N/m2
    
    def pi_mod(d):
        return (math.pi * d ** 2) / 4e6  # <- mm2 to m2?
    
    radical = (gamma + 1)/(gamma - 1)
    radical2 = (gamma - 1) / gamma
    minor_mod = np.sqrt( gamma/R*( 2/(gamma + 1) )**radical )
    
    def main_mod(P1, P2):
        if P1 < P2:
            return P2 * np.sqrt( 1/R/Tb * 2/radical2 * (P1/P2)**(2/gamma) * (1 - (P1/P2)**radical2) )
        else:
            return 0
    
    def f(p):
        massflow, Pb, Pc, Ps = p
    
        major_mod = Nn*Cn/np.sqrt(Tb) * Pb 
    
        f1 = massflow - major_mod * pi_mod(dn) * minor_mod
        f2 = massflow - Cf * pi_mod(df) * main_mod(Pb, Pc)
        f3 = massflow - Cf * pi_mod(dbt) * main_mod(Pc, Ps)
        f4 = massflow - Cf * pi_mod(dv) * main_mod(Ps, Pr)
    
        return (f1, f2, f3, f4)
    
    guess_massflow = 0.3 # kg/s
    guess_Pc = 12e5 # N/m2
    guess_Pb = 10e5 # N/m2
    guess_Ps = 14e5 # N/m2
    
    p_zero = (guess_massflow, guess_Pb, guess_Pc, guess_Ps)
    
    solution = fsolve(f, p_zero, full_output=True)
    

    我还更改了pi_mod 中的单位转换(它是磁盘的区域吗?)并将常量值和函数放在f 函数之外

    【讨论】:

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