def __init__(self):
# Objects
self.rw = comClient() #Initialise Modbus comms class
self.xls = xlsLogging(4) #Initialise excel data logging
self.pg = plotActiveGraph() #Initialise graphical plot
self.NNctrl = neuralNetwork() #Initialise Neural Network
if int(sys.argv[1]) == 1:
self.r = testModel("../../tests/") #Initialise simulated lab rig
# Variables
self.count = 0 #For 'heart beat' counter
self.sampleTime = 10
def __init__(self):
# Objects
self.ext = osTools() #Initialise data key press
self.xls = xlsLogging(6) #Initialise excel data logging
self.pg = plotActiveGraph() #Initialise graphical plot
self.ctrl = controller() #Initialise PID Controller
if int(sys.argv[1]) == 1:
self.r = testModel("../../tests/") #Initialise simulated lab rig
else:
self.rw = comClient() #Initialise Modbus comms class
# Variables
self.count = 0 #For 'heart beat' counter
def __init__(self):
# Objects
self.ext = osTools() #Initialise data key press
self.xls = xlsLogging(4) #Initialise excel data logging
self.pg = plotActiveGraph() #Initialise graphical plot
if int(sys.argv[1]) == 1:
self.r = testModel("../../tests/") #Initialise simulated lab rig
else:
self.rw = comClient() #Initialise Modbus comms class
# Variables
self.Interval = 5 #For Time Interval
self.count = 0 #'Heart beat' counter start number
def __init__(self):
# Objects
self.ext = osTools() #Initialise data key press
self.xls = xlsLogging(6) #Initialise excel data logging
self.pg = plotActiveGraph() #For graphical plot (PV,SP,OP)
self.rls = RLS() #Initialise Recursive Least Squares Object
if int(sys.argv[1]) == 1:
self.r = testModel("../../tests/") #Initialise simulated lab rig
else:
self.rw = comClient() #Initialise Modbus comms class
# Variables
self.count = 0 #For 'heart beat' counter
self.intDataPoints = 4 #Initial Data Points to be read
self.sampleTime = 40 #Calculation loop time
