-
Notifications
You must be signed in to change notification settings - Fork 14
Expand file tree
/
Copy pathdaq.py
More file actions
132 lines (110 loc) · 4.14 KB
/
Copy pathdaq.py
File metadata and controls
132 lines (110 loc) · 4.14 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
import UniversalLibrary as UL
import numpy
import time
class daq():
def __init__(self, BoardNum):
self.BoardNum = BoardNum
self.TorqueVec = [0]
self.CountVec = [0]
self.VoltageVec = [0]
self.CurrentVec = [0]
self.Torque = 0
self.Count = 0
self.Voltage = 0
self.Current = 0
self.TorqueOffset = 0
self.VoltageOffset = 0
self.CurrentOffset = 0
def sampleTorque(self):
Gain = UL.BIP5VOLTS
Chan = 0
try:
DataValue = UL.cbAIn(self.BoardNum, Chan, Gain)
engUnits = UL.cbToEngUnits(self.BoardNum, Gain, DataValue)
self.Torque = 2.26*engUnits# - self.TorqueOffset;
except:
pass
def sampleVoltage(self):
Gain = UL.BIP5VOLTS
Chan = 1
try:
DataValue = UL.cbAIn(self.BoardNum, Chan, Gain)
engUnits = UL.cbToEngUnits(self.BoardNum, Gain, DataValue)
self.Voltage = -1*((engUnits-2.5)*20.2030 - self.VoltageOffset);
except:
pass
def sampleCurrent(self):
Gain = UL.BIP5VOLTS
Chan = 2
try:
DataValue = UL.cbAIn(self.BoardNum, Chan, Gain)
engUnits = UL.cbToEngUnits(self.BoardNum, Gain, DataValue)
self.Current = (engUnits)/.02 - self.CurrentOffset;
except:
pass
def sampleCount(self):
Chan = 0;
DataValue = 0
try:
self.Count = UL.cbCIn(self.BoardNum, Chan, DataValue)
except:
pass
def zero(self):
current_error = 0
voltage_error = 0
torque_error = 0
for i in range(1000):
self.sampleTorque()
self.sampleVoltage()
self.sampleCurrent()
#self.sampleAllFast()
torque_error = torque_error + self.Torque
current_error = current_error + self.Current
voltage_error = voltage_error + self.Voltage
time.sleep(.01)
self.TorqueOffset = 0#torque_error/1000
self.CurrentOffset = current_error/1000
self.VoltageOffset = voltage_error/1000
"""
self.sampleAllFast()
self.TorqueOffset = self.Torque
self.CurrentOffset = self.Current
self.voltageOffset = self.Voltage
"""
print("Torque Offset", self.TorqueOffset)
print("Current Offset", self.CurrentOffset)
print("Voltage Offset", self.VoltageOffset)
def sampleAll(self):
self.sampleTorque()
self.sampleVoltage()
self.sampleCurrent()
filteredTorque = self.Torque#.1*self.Torque + .9*self.TorqueVec[-1]
filteredVoltage = self.Voltage#.1*self.Voltage + .9*self.VoltageVec[-1]
#self.TorqueVec.append(self.Torque)
self.TorqueVec.append(filteredTorque)
self.CountVec.append(self.Count)
self.VoltageVec.append(filteredVoltage)
self.CurrentVec.append(self.Current)
def sampleAllFast(self):
Count = 300
Rate = 5000
Gain = UL.BIP5VOLTS
Options = UL.CONVERTDATA + UL.BACKGROUND + UL.SINGLEIO
ADData = numpy.zeros((Count,), dtype=numpy.int16)
UL.cbAInScan(self.BoardNum, 0, 2, Count, Rate, Gain, ADData, Options)
time.sleep(Count/Rate)
torqueVolts = UL.cbToEngUnits(self.BoardNum, Gain, int(numpy.mean(ADData[0::3])))
voltageVolts = UL.cbToEngUnits(self.BoardNum, Gain, int(numpy.mean(ADData[1::3])))
currentVolts = UL.cbToEngUnits(self.BoardNum, Gain, int(numpy.mean(ADData[2::3])))
print(torqueVolts, voltageVolts, currentVolts)
self.Torque = 2.26*torqueVolts - self.TorqueOffset;
self.Voltage = -1*((voltageVolts-2.5)*20.2030 - self.VoltageOffset);
self.Current = (currentVolts)/.02 - self.CurrentOffset;
def getTorqueVec(self):
return self.TorqueVec
def getCountVec(self):
return self.CountVec
def getVoltageVec(self):
return self.VoltageVec
def getCurrentVec(self):
return self.CurrentVec