TY - JOUR
T1 - Enhanced particle swarm optimization based DC-link voltage control algorithm for interleaved SAPF
AU - Gali, Vijayakumar
AU - Gupta, Nitin
AU - Gupta, R. A.
N1 - Publisher Copyright:
© School of Engineering, Taylor’s University.
PY - 2018/10
Y1 - 2018/10
N2 - This paper investigates the intrinsic influence of DC-link capacitor voltage on the compensation performance of interleaved SAPF. PI controller has played a significant role in regulating the DC-link voltage to minimise the undesirable switching and interfacing inductor power losses. Its gain values will change continuously with the undesirable condition of load and supply voltages. PSO has used for tuning the PI controller gain values. However, this technique causes to local optimum with premature convergence, which resulted in poor performance in terms of overshoot, undershoot, settling time and accuracy. To address these issues, the idea of simulated annealing algorithm is used in proposed EPSO. This proposed algorithm reduces the convergence time by eliminating the premature particle’s best position and comprehends the computational complexity. The proposed system is simulated by using MATLAB®/ Simulink software to validate the feasibility and effectiveness of proposed control algorithm in comparison with conventional PI and PSO based control algorithms under the steady state and transient condition of the load. The simulation results are validated by implementing a prototype in the laboratory. The proposed control technique achieved better performance in terms of dynamic response, 99.97% accuracy of DC-link voltage regulation, overshoot of 5V, and undershoot of 3 V, settling time of 0.05 seconds and accuracy in comparison with conventional algorithms.
AB - This paper investigates the intrinsic influence of DC-link capacitor voltage on the compensation performance of interleaved SAPF. PI controller has played a significant role in regulating the DC-link voltage to minimise the undesirable switching and interfacing inductor power losses. Its gain values will change continuously with the undesirable condition of load and supply voltages. PSO has used for tuning the PI controller gain values. However, this technique causes to local optimum with premature convergence, which resulted in poor performance in terms of overshoot, undershoot, settling time and accuracy. To address these issues, the idea of simulated annealing algorithm is used in proposed EPSO. This proposed algorithm reduces the convergence time by eliminating the premature particle’s best position and comprehends the computational complexity. The proposed system is simulated by using MATLAB®/ Simulink software to validate the feasibility and effectiveness of proposed control algorithm in comparison with conventional PI and PSO based control algorithms under the steady state and transient condition of the load. The simulation results are validated by implementing a prototype in the laboratory. The proposed control technique achieved better performance in terms of dynamic response, 99.97% accuracy of DC-link voltage regulation, overshoot of 5V, and undershoot of 3 V, settling time of 0.05 seconds and accuracy in comparison with conventional algorithms.
KW - DC-link voltage regulation
KW - Enhanced particle swarm optimisation (EPSO)
KW - Interleaved inverter based SAPF
KW - Particle swarm optimization (PSO)
KW - Power quality
KW - Shoot-through problems
UR - http://www.scopus.com/inward/record.url?scp=85057629156&partnerID=8YFLogxK
UR - https://jestec.taylors.edu.my/V13Issue10.htm
M3 - Article
AN - SCOPUS:85057629156
SN - 1823-4690
VL - 13
SP - 3393
EP - 3418
JO - Journal of Engineering Science and Technology (JESTEC)
JF - Journal of Engineering Science and Technology (JESTEC)
IS - 10
ER -