def loaddata(file, delimeter):
#加载文件，以delimeter进行分割成行和列
data = np.loadtxt(file, delimiter=delimeter)
#输出处理后数据的行和列
#print('Dimensions: ',data.shape)
#输出第2行到第6行
#print(data[1:6,:])
return (data)
def main(argv):
letters = ["gen/"+x+"-0" for x in process_args(argv)]
to_plot = []
plot = plt.subplot(3,1,1)
for letter in letters:
data = np.loadtxt(letter,delimiter=" ");
print data
plot.plot(data, label=letter[4:-2])
plot.legend(shadow=True,fancybox=True)
plt.draw()
plt.show()
def evaluate_design(self, x_denorm):
with open('_eval/ACMConfig.h', 'r') as f:
new_line = []
for line in f.readlines():
if '#define CURRENT_LOOP_BANDWIDTH' in line:
new_line.append(
f'#define CURRENT_LOOP_BANDWIDTH (2*M_PI*{x_denorm[0]:g})\n'
) # 15
elif '#define DELTA_THE_DAMPING_FACTOR' in line:
new_line.append(
f'#define DELTA_THE_DAMPING_FACTOR ({x_denorm[1]:g})\n'
) # 0.08
else:
new_line.append(line)
with open('_eval/ACMConfig.h', 'w') as f:
f.writelines(new_line)
if os.path.exists(self.work_dir + '/_eval/main.exe'):
os.remove(self.work_dir + '/_eval/main.exe')
subprocess.run([
"gcc", "_eval/main.c", "_eval/controller.c", "_eval/observer.c",
"-o", "_eval/main"
])
while not os.path.exists(self.work_dir + '/_eval/main.exe'):
time.sleep(0.1)
print('sleep for main.exe')
# subprocess.run( [self.work_dir+'/_eval/main.exe'] )
os.system('cd _eval && main')
while not os.path.exists(self.work_dir + '/_eval/pi_opti.dat'):
time.sleep(0.1)
print('sleep for .dat')
speed_profile = np.loadtxt('_eval/pi_opti.dat', skiprows=1)
os.remove(self.work_dir + '/_eval/pi_opti.dat')
TS = 0.000025 # ACMConfig.h
print(max(speed_profile), 'rpm')
print(min(speed_profile, key=lambda x: abs(x - 90)), 'rpm') # [rpm]
print(np.abs(speed_profile - 90).argmin() * TS * 1000, 'ms') # [ms]
rise_time = np.abs(speed_profile - 90).argmin() * TS * 1000
over_shoot = max(speed_profile)
if over_shoot <= 100:
over_shoot = 100
# modify this function to call matlab and eMach to evaluate the design with free variables as in x_denorm
return over_shoot, rise_time
def main(argv):
args = process_args(argv)
#letters = ["train/sharad-new/"+x for x in args]
letters = [""+x for x in args]
#letters = ["data_train/"+x for x in args]
#letters = ["train/lei-1354774953143/"+x for x in args]
to_plot = []
plot = plt.subplot(1,1,1)
for i in range(len(letters)):
data = np.loadtxt(letters[i],delimiter=" ");
x = [point[0] for point in data]
y = [point[1] for point in data]
plot.plot(x,y, label=args[i],linewidth=8)
#plot.legend(shadow=True,fancybox=True,loc='upper center',bbox_to_anchor=(0.5,-0.1),ncol=4)
plot.set_aspect('1.0')
#subplots_adjust(bottom=0.25) # <--
plt.draw()
plt.show()
