fix(SF-483): Добавлены ошибки по нерпавильным наборам параметров
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@ -8,13 +8,14 @@ class ConstantCalculator(AutoConfigClass):
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super().__init__(ConstantCalculator.params_list, operator_config, system_config)
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for param, value in self.__dict__.items():
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if value is int and value < 0:
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raise Exception("""Недопустимое значение параметра {param} < 0""")
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def calc(self):
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constants = {}
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#self.smin1t = self.smin1 - self.dblock / 2
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#self.smin2t = self.smin2 - self.dblock / 2
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#self.awork = self.umax / (self.l * self.m)
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#self.fl = self.Fd * (1-self.kturn)
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#self.flon = self.Fd * self.kturn
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constants["Fprop"] = self.k_prop * self.force_target
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constants["freq"] = sqrt(self.k_hardness_1 / self.mass_1)
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constants["eff_control"] = self.torque_max_1 / self.transmission_ratio_1
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@ -65,11 +65,13 @@ class OptTimeCalculator(AutoConfigClass):
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self.allTimes["topen_2_acc"] = topen_2_acc
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self.allTimes["topen_2_speed"] = topen_2_speed
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if s1 > l1:
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raise ValueError("S1 > L1 - недопустимый сценарий")
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if s2 > l2:
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raise ValueError("S2 > L2 - недопустимый сценарий")
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if s1 >= l1:
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raise Exception("""S1 >= L1 - недопустимый сценарий,
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проверьте dist_open_after_1, dist_close_end_1""")
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if s2 >= l2:
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raise Exception("""S2 >= L2 - недопустимый сценарий,
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проверьте dist_open_after_2, dist_close_end_2""")
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s1 += Fs1
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topen_1_mark = sqrt(2 * s1 / self.a_max_1)
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if topen_1_mark > topen_1_acc:
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@ -100,15 +102,19 @@ class OptTimeCalculator(AutoConfigClass):
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vF0 = v0 * self.k_hardness_1
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vFmax = min(self.v_max_1 * self.k_hardness_1, sqrt(self.k_hardness_1/(self.mass_1))* self.Ftogrow)
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l = sqrt(self.eff_control ** 2 + self.mass_1/self.k_hardness_1 * vF0**2)
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L = sqrt(self.k_hardness_1 / self.mass_1 * self.eff_control ** 2 + vF0*vF0)
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tspeed = sqrt(self.mass_1/self.k_hardness_1) * (arcsin(vFmax / L) - arccos(sqrt(self.k_hardness_1 / self.mass_1) * self.eff_control / L))
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Fspeed = - self.eff_control * cos(self.freq * tspeed) + self.eff_control + 1/self.freq * vF0 * sin(self.freq * tspeed)
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Fmeet = 1/self.freq * sqrt(self.freq**2 * self.Ftogrow**2 - vFmax**2)
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eps = 1e1
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if self.freq**2 * self.Ftogrow**2 - vFmax**2 < -eps:
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raise Exception("""Номинальная траектория набора усилия не может быть достигнута, максимальная скорость превысила скорость траектории
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, проверьте параметры k_hardness_1, mass_1, k_prop""")
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Fmeet = 1/self.freq * sqrt(self.freq**2 * self.Ftogrow**2 - vFmax**2 + eps)
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Fstart_prop = self.Fstart_prop
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assert Fmeet < Fstart_prop
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if Fmeet > Fstart_prop:
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raise Exception("""Номинальная траектория набора усилия была достигнута на фазе подпора
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, проверьте параметры v_max_1, k_prop""")
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tmeet = (Fmeet - Fspeed)/vFmax
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tend = self.tGrowNominal(Fstart_prop) - self.tGrowNominal(Fmeet)
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vp = 1/sqrt(self.k_hardness_1 * self.mass_1) * sqrt(self.Ftogrow**2 - self.Fstart_prop**2)
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@ -132,14 +138,15 @@ class OptTimeCalculator(AutoConfigClass):
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v0s = []
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pos0s = []
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for i in range(1,3):
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tq = tmark
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assert tq > 0
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v0 = closeAlgo("V"+str(i), "Open", tq)
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if tmark < 0:
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raise Exception("""Отрицательное время этапа раскрытия,
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проверьте dist_open_after_{1,2}, time_command""")
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v0 = closeAlgo("V"+str(i), "Open", tmark)
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v0s.append(v0)
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x0 = closeAlgo("X"+str(i), "Open", tq)
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x0 = closeAlgo("X"+str(i), "Open", tmark)
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x1 = contact[i-1] - self.__dict__["dist_close_end_"+str(i)]
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x = x1 - x0
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pos0s.append(closeAlgo("X"+str(i), "Open", tq))
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pos0s.append(closeAlgo("X"+str(i), "Open", tmark))
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Tfull = self.time_robot_movement
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@ -155,7 +162,9 @@ class OptTimeCalculator(AutoConfigClass):
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t3 = (Tfull + v0 / a) / 2
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sqrtval = a**2 * (a**2 * (Tfull+2*t3)**2 - 8 * a * Sfull + 2 * a* v0 * (Tfull+2*t3) - 3 *v0**2)
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assert sqrtval >= 0
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if sqrtval < 0:
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raise Exception("""Невозможно с S_{i} добраться но H*_{i} за указанное время,
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проверьте dist_open_after_{i}, dist_close_end_{i}, time_command, time_robot_movement""")
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t1max = ((Tfull+2*t3) + v0/a)/(2) - sqrt(sqrtval) * sqrt(2)/(4*a**2)
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t1 = min(t1max, (vmax- abs(v0))/a)
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t1 = max(0, min(t1, -v0/a + sqrt(v0**2 / (a**2) + (abs(maxL)-v0*v0/a)/a)))
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@ -180,7 +189,7 @@ class OptTimeCalculator(AutoConfigClass):
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t2 = max(0, min(t2max, (abs(maxL) - abs(Smovement))/v1))
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t4 = max(0, Sleft/v3 + v1/v3 * t2)
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tstay = Tfull - t1 - t2 - t3 - t4 - t5
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tstay = max(0, Tfull - t1 - t2 - t3 - t4 - t5)
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self.allTimes["tmovement_"+str(i)+"_acc"] = t1
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self.allTimes["tmovement_"+str(i)+"_speed"] = t2
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