Lee, C.C.: Fuzzy logic in control system: fuzzy logic controller-part I. Kavitha, S., Ponmalar, S.J.: Fuzzy based control using lab view for temperature process. ISSN 0974-2166Ĭhattopadhyay, S., Roy, G., Panda, M.: Simple design of PID controller and tuning of its parameters using LabVIEW. Available: ĭarshan, T.S., Nagendra, B., Srinivasulu Raju, S.: Design of quadratic dynamic matrix control for driven pendulum system.

Siddiqa, M.A., Ravi Kiran, T.K.S., Viswanath, M., Srinivasulu Raju, S.: Control of concentration in CSTR using DMC and conventional PID based on relay feedback method. 4(5) (2013)Ĭlark, C.: LabVIEW Digital Signal Processing. This new temperature controller with digital PID control loop achieves temperature stability of less than 0.003C with output current noise and ripple less.

Pushpaveni, T., Archana, N., Chandana, M.: Modelling and controlling of conical tank system using adaptive controllers and performance comparison with conventional PID.

Vardhan, H., Bharadwaj, A.S., Raju, S.S., Archana, N.: Implementation of fuzzy PID controller and performance comparison with PID for position control of Dc motor. Stephanopoulos, G.: Chemical Process Control. Sunay, A.S., Koçak, O., Kamberli, E., Koçum, C.: Design and construction of a LabVIEW based temperature controller with using fuzzy logic The process variable is the system parameter you want to control, such as temperature, pressure, or flow rate, and the setpoint is the desired value for the. results are achieved by using LabVIEW Fuzzy-PID Tool.5 This paper represents that the temperature of the reactor can be controlled by controlling the flow.

Pid on off temperature control labview