Application of Hybrid Optimization Technique for Tuning PID Controller in LabVIEW-Multisim Integrated Cuk converter
: A novel design for optimizing the parameters of the Proportional, Integral (PI) controller using Particle Swarm Optimization-Gravitational Search Algorithm (PSO-GSA) was proposed. First, Cuk converter was designed in the continuous conduction mode. Then a PI controller was designed with the objective of set point tracking of output voltage of the converter and to minimize the performance index such as Integral Absolute Error (IAE)). The parameters of PI controller were optimized to control the output voltage of the converter. The optimization was carried in an Intel i5 core processor for 50 trials with 100 iterations for each trial. It was found that the proposed PSOGSA optimization provides faster convergence and a better solution in terms of integral absolute error.
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