PSO design an optimal fuzzy controller for heat exchanger temperature

Abstract EN

The temperature in numerous chemical, industrial, heating ventilation and air conditioning HVAC applications is a very crucial variable.

The temperature in these applications should be under control.

This worked signs Fuzzy logic controller FLC for heat exchang system using a new technique.

Heat exchang systems are used for transferring heat from a hot field to a cooler field; sotemperature control of outlet fluid is prime importance.

The system of heat exchanger is always used for controlling the different temperature between outlet fluid and inlet fluid.

Due to difficulty finding the parameters of the smart controller FLC, (Particle swarm optimization technique) have been projected to form the parameters of FLC.

PSO is a heuristic method in computational algorithm.

The contribution of our work is present PSO as a designer of FLC.

The consequences demonstrate the designed controller reach to set point with the shortest time.