Introduction of Control system
the controller compares it to the desired output, and the actuator
adjusts the system to correct the error.
Code Sample
Here's a simple Python code to demonstrate a closed-loop control
system:
import time
# Desired output
desired_temperature = 22
# Current temperature
current_temperature = 25
# Controller gain
gain = 0.1
while True:
# Measure current temperature
current_temperature = measure_temperature()
# Calculate error
error = desired_temperature - current_temperature
# Adjust system
adjust_system(error * gain)
# Wait for 1 second
time.sleep(1)
This code demonstrates a simple closed-loop control system. It
measures the current temperature, calculates the error, and
adjusts the system to correct the error. The
measure_temperature() function is a placeholder for a sensor that
measures the current temperature, and the adjust_system()
function is a placeholder for an actuator that adjusts the system.
the controller compares it to the desired output, and the actuator
adjusts the system to correct the error.
Code Sample
Here's a simple Python code to demonstrate a closed-loop control
system:
import time
# Desired output
desired_temperature = 22
# Current temperature
current_temperature = 25
# Controller gain
gain = 0.1
while True:
# Measure current temperature
current_temperature = measure_temperature()
# Calculate error
error = desired_temperature - current_temperature
# Adjust system
adjust_system(error * gain)
# Wait for 1 second
time.sleep(1)
This code demonstrates a simple closed-loop control system. It
measures the current temperature, calculates the error, and
adjusts the system to correct the error. The
measure_temperature() function is a placeholder for a sensor that
measures the current temperature, and the adjust_system()
function is a placeholder for an actuator that adjusts the system.
