Controller parameter optimization using hybrid BFOA-PSO algorithm

摘要

In hybrid bacteria foraging optimization-particle swarm optimization (BFO-PSO) algorithm, the principle of swarming is introduced in to BFO which eventually provides a superior result than rest of the optimization techniques. In this paper the effectiveness of BFO-PSO algorithm is tested for tuning PID controller parameters. The PID controller is used to control the outlet temperature of heat exchanger system.