Performance Comparison of Optimization Algorithm Tuned PID Controllers in Positive Output Re-Lift Luo Converter Operation for Electric Vehicle Applications

Abstract

In this work, a Particle Swarm-Based optimization algorithm is proposed to optimize the PID controller used in the Positive Output Re-Lift Luo converter for the Electric Vehicle application. The novelty of the work lies in developing an improved PID controller to explore the reliability of the re-lift Luo converter. In addition, the optimization improves the effectiveness of the closed-loop system that possesses high voltage gain with esteemed power density and efficiency. With the Particle Swarm Optimization control algorithm, $K_p$, $K_i$, and $K_d$ values are tuned in such a way to obtain the appropriate steady-state condition with no peak overshoot or undershoot, much lesser settling time, no steady-state error, and improved dynamic performances. To analyze the system stability and to obtain better results, reduced-order state-space modeling of the Re-lift Luo converter is adopted, which offers high computational speed and accuracy. Initially, a PID controller is designed using the Zeigler Nicholas method, and the results are compared with the genetic algorithm and Particle Swarm Optimization algorithm. The time-domain analysis has been carried out to analyze and compare the converter’s performance. The simulation results were verified experimentally, and the results prove the robustness of the proposed converter with a PID controller optimized using the Particle Swarm Optimization algorithm.

KEYWORDS:

• DC–DC converter
• Efficiency Particle Swarm Optimization (PSO)
• Electric vehicle
• PID controller

Additional information

Notes on contributors

R. Femi

R Femi is pursuing research Anna University of Technology, Nagercoil, Tamil Nadu, India. She obtained a BE (Electrical & Electronics Engineering) degree from Anna University Chennai in 2009 and a master's degree from Anna University of Technology, Tiruchirappalli, in 2011. Her area of research is renewable energy applications and DC–DC converters.

T. Sree Renga Raja

T Sree Renga Raja is working as a professor in the Department of Electrical and Electronics Engineering, Anna University of Technology, Nagercoil, Tamil Nadu, India. He obtained a BE (Electrical and Electronics Engineering) degree from Manonmaniam Sundaranar University, Tirunelveli, in 1998, an ME (Power Systems) from Annamalai University, Chidambaram, in 1999 and a PhD from Anna University, Chennai, in 2007. He has published many papers in the field of power system engineering. His area of interest includes power system optimization, renewable energy applications, energy conservation management and insulation engineering. Email: [email protected]

R. Shenbagalakshmi

R Shenbagalakshmi is working as an associate professor in the Department of Electrical Engineering, SKN Sinhgad Institute of Technology and Science, India. She obtained a BE (Electrical & Electronics Engineering) degree from Bharathidasan University, Tiruchirappalli, in 2001 and a master’s degree from Vinaya University, Salem, in 2007. She has published many papers in power electronics and control engineering. Her area of interest includes control aspects of DC–DC converters and renewable energy applications. Email: [email protected]