<gh_stars>1-10
from math import pi, sin, cos

from dvoc_model.reference_frames import SinCos, Abc, Dq0, AlphaBeta
from dvoc_model.constants import *

class Dvoc:
    def __init__(self,
                 eps: float = 15.,
                 k_v: float = 80.,
                 k_i: float = 0.2,
                 v_nom: float = 80.,
                 hz_nom: float = 60,
                 varphi: float = pi / 2,
                 l: float = 26.268e-6,
                 c: float = 0.2679
                 ):

        self.v_nom = v_nom
        self.hz_nom = hz_nom
        self.omega_nom = 1 / sqrt(l*c)

        # initialize state variables
        self.v = Dq0(SQRT_2*80, 0, 0).to_alpha_beta(SinCos.from_theta(0))

        # calculate oscillator constants
        self.k0 = eps/(k_v**2)
        self.k1 = k_v * k_i / c
        self.two_v_nom_srd = 2*self.v_nom**2
        self.sin_phi = sin(varphi)
        self.cos_phi = cos(varphi)



    def step(self, dt, i_err):
            
        tmp = self.k0 * (self.two_v_nom_srd - self.v.alpha**2 - self.v.beta**2)
        dadt = tmp * self.v.alpha \
                - self.omega_nom * self.v.beta \
                - self.k1 * (self.cos_phi * i_err.alpha - self.sin_phi * i_err.beta)

        dbdt = tmp * self.v.beta \
                + self.omega_nom * self.v.alpha \
                - self.k1 * (self.sin_phi * i_err.alpha + self.cos_phi * i_err.beta)

        self.v.alpha += dadt * dt
        self.v.beta += dbdt * dt



if __name__ == "__main__":
    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as mp

    # filter values
    Lf = 1.5e-3
    Rf = 0.4

    # simulation parameters
    dt = 1 / 10e3
    ts = np.arange(0, 500e-3, dt)

    # grid parameters
    grid = Dq0(SQRT_2*80, 0, 0)
    grid_omega = TWO_PI * 60

    # create a step function for dispatch (3A to 6A)
    ias = 3 * np.ones(len(ts))
    ias[len(ts)//2:] = 6

    # create an oscillator using the defaults
    dvoc = Dvoc()

    # dictionary for containing simulation results
    data = {'v_a': [],
            'v_b': [],
            'v_c': [],
            'i_a': [],
            'i_b': [],
            'i_c': []}

    # run simulation
    i = AlphaBeta(0, 0, 0)  # start out current at 0A
    for ia, t in zip(ias, ts):

        # update the grid voltage
        sin_cos = SinCos.from_theta(grid_omega * t)
        vg = grid.to_alpha_beta(sin_cos)

        # calculate the current error
        i_ref = Dq0(ia, 0, 0).to_alpha_beta(sin_cos)
        i_err = i - i_ref

        # update the virtual oscillator
        dvoc.step(dt, i_err)
        v = dvoc.v

        # simulate the currents
        i.alpha += (dt/Lf*(v.alpha - vg.alpha - Rf*i.alpha))
        i.beta += (dt/Lf*(v.beta - vg.beta - Rf*i.beta))

        # update the data
        v_abc = v.to_abc()
        i_abc = i.to_abc()
        data['v_a'].append(v_abc.a)
        data['v_b'].append(v_abc.b)
        data['v_c'].append(v_abc.c)
        data['i_a'].append(i_abc.a)
        data['i_b'].append(i_abc.b)
        data['i_c'].append(i_abc.c)

    # plot the results
    data = pd.DataFrame(index=ts, data=data)
    ax = data.plot(y='i_a')
    data.plot(y='i_b', ax=ax)
    data.plot(y='i_c', ax=ax)
    mp.show()
from math import pi, sin, cos

from dvoc_model.reference_frames import SinCos, Abc, Dq0, AlphaBeta
from dvoc_model.constants import *

class Dvoc:
    def __init__(self,
                 eps: float = 15.,
                 k_v: float = 80.,
                 k_i: float = 0.2,
                 v_nom: float = 80.,
                 hz_nom: float = 60,
                 varphi: float = pi / 2,
                 l: float = 26.268e-6,
                 c: float = 0.2679
                 ):

        self.v_nom = v_nom
        self.hz_nom = hz_nom
        self.omega_nom = 1 / sqrt(l*c)

        # initialize state variables
        self.v = Dq0(SQRT_2*80, 0, 0).to_alpha_beta(SinCos.from_theta(0))

        # calculate oscillator constants
        self.k0 = eps/(k_v**2)
        self.k1 = k_v * k_i / c
        self.two_v_nom_srd = 2*self.v_nom**2
        self.sin_phi = sin(varphi)
        self.cos_phi = cos(varphi)



    def step(self, dt, i_err):
            
        tmp = self.k0 * (self.two_v_nom_srd - self.v.alpha**2 - self.v.beta**2)
        dadt = tmp * self.v.alpha \
                - self.omega_nom * self.v.beta \
                - self.k1 * (self.cos_phi * i_err.alpha - self.sin_phi * i_err.beta)

        dbdt = tmp * self.v.beta \
                + self.omega_nom * self.v.alpha \
                - self.k1 * (self.sin_phi * i_err.alpha + self.cos_phi * i_err.beta)

        self.v.alpha += dadt * dt
        self.v.beta += dbdt * dt



if __name__ == "__main__":
    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as mp

    # filter values
    Lf = 1.5e-3
    Rf = 0.4

    # simulation parameters
    dt = 1 / 10e3
    ts = np.arange(0, 500e-3, dt)

    # grid parameters
    grid = Dq0(SQRT_2*80, 0, 0)
    grid_omega = TWO_PI * 60

    # create a step function for dispatch (3A to 6A)
    ias = 3 * np.ones(len(ts))
    ias[len(ts)//2:] = 6

    # create an oscillator using the defaults
    dvoc = Dvoc()

    # dictionary for containing simulation results
    data = {'v_a': [],
            'v_b': [],
            'v_c': [],
            'i_a': [],
            'i_b': [],
            'i_c': []}

    # run simulation
    i = AlphaBeta(0, 0, 0)  # start out current at 0A
    for ia, t in zip(ias, ts):

        # update the grid voltage
        sin_cos = SinCos.from_theta(grid_omega * t)
        vg = grid.to_alpha_beta(sin_cos)

        # calculate the current error
        i_ref = Dq0(ia, 0, 0).to_alpha_beta(sin_cos)
        i_err = i - i_ref

        # update the virtual oscillator
        dvoc.step(dt, i_err)
        v = dvoc.v

        # simulate the currents
        i.alpha += (dt/Lf*(v.alpha - vg.alpha - Rf*i.alpha))
        i.beta += (dt/Lf*(v.beta - vg.beta - Rf*i.beta))

        # update the data
        v_abc = v.to_abc()
        i_abc = i.to_abc()
        data['v_a'].append(v_abc.a)
        data['v_b'].append(v_abc.b)
        data['v_c'].append(v_abc.c)
        data['i_a'].append(i_abc.a)
        data['i_b'].append(i_abc.b)
        data['i_c'].append(i_abc.c)

    # plot the results
    data = pd.DataFrame(index=ts, data=data)
    ax = data.plot(y='i_a')
    data.plot(y='i_b', ax=ax)
    data.plot(y='i_c', ax=ax)
    mp.show()
# initialize state variables # calculate oscillator constants # filter values # simulation parameters # grid parameters # create a step function for dispatch (3A to 6A) # create an oscillator using the defaults # dictionary for containing simulation results # run simulation # start out current at 0A # update the grid voltage # calculate the current error # update the virtual oscillator # simulate the currents # update the data # plot the results