https://orcid.org/0000-0003-0382-960X
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ABSTRACT
Average Current Mode (ACM) controlled synchronous DC–DC converters are increasingly required for computer power supplies and electric vehicle battery chargers. In this study, Generalized Hopfield Neural Network (GHNN) tuned PI controllers has been proposed for ACM control of synchronous single ended primary inductance converter (SEPIC). The dynamic converter model, required for designing the controllers, is derived using the state-space averaging technique considering all the converter non-idealities. In addition, modified Hankel matrix method is applied to reduce the derived converter model to its first-order equivalent to minimize the design complexity. Using the reduced-order model, the control loop errors are formulated as objective functions in terms of their PI controller parameters. These objective functions are then solved using GHNN to obtain the optimal PI controller parameters. The transient and steady-state performance of the converter with the proposed controller is studied and compared with controllers tuned using Zeigler Nicholas (ZN) method, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Reduced-Order Linear Quadratic Regulator (ROLQR) control scheme for variations in the input voltage, reference voltage and load using MATLAB/ Simulink R2015b software tool. Results revealed that the proposed GHNN based controller has fast dynamic performance with less settling time, % overshoot, and steady-state error than existing control methods. A 100W converter prototype is also constructed and tested using TMS320C2000TM microcontroller to verify the effectiveness of the GHNN control algorithm.
Additional information
Notes on contributors
S. Sundaramoorthy
S Sundaramoorthy is presently an undergraduate student of electrical and electronics engineering at Rajalakshmi Engineering College, Chennai, India. His research interest includes modelling and control of dc-dc converters.
M.G. Umamaheswari
M G Umamaheswari professor, Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College has obtained UG degree in Instrumentation and control engineering from Government College of Technology, Coimbatore and PG degree in electrical drives and embedded control and PhD in the area of power quality from College of Engineering, Anna University, Chennai. She has published more than 35 papers in high-impact factor international journals like IEEE, IET, and Elsevier. Her research area of interest includes power quality enhancement using power converters, application of linear and nonlinear controllers to renewable power fed converters. Email: [email protected]
G. Marimuthu
G Marimuthu received the BE degree in electronics and instrumentation engineering from Manomaniam University, Tirunelveli, India in 2004. ME degree in power electronics and drives from Anna University, Chennai, India in 2008. He is currently with the Department of Electronics and Instrumentation Engineering, RMK Engineering College, Tiruvallur, India as an assistant professor. He is a Member of IEEE, ISOI, and ISTE. His research areas of interest include power quality, power converters, soft computing and embedded controller design for power converters. Email: [email protected]
B. Lekshmisree
B Lekshmisree received BE in electrical and electronics engineering from CSI Institute of Technology, Thovalai, India, ME in power electronics and drives from Rajalakshmi Engineering College, Chennai, India. She is currently working as an assistant professor and pursuing PhD, at Rajalakshmi Engineering College, Chennai, India. She has published 5 research papers in refereed journals and conferences. Her research interests are optimization techniques, robust control techniques, and renewable energy sources. Email: [email protected]