An ANFIS-PI based boost converter control scheme

The PI algorithm has proven to be a popular and widely used control method, due to its relative simplicity and robustness. Despite this, the linear nature of the algorithm means it doesn't provide optimal control to non-linear systems. This paper presents a novel method of improving the performance of the PI controller using an ANFIS network to provide gain scheduling. This control scheme is applied to a Boost Converter circuit and simulated within the PSIM modelling environment. The simulation results indicate that using the ANFIS controller provides a fast system response with minimal errors even under dynamic operating conditions. The ANFIS controller is also shown to simplify the design flow in comparison to the popular Fuzzy-PI gain scheduling method.

[1]  J. Femmy Nirmal,et al.  Adaptive PSO based tuning of PID controller for an Automatic Voltage Regulator system , 2013, 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT).

[2]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[3]  Luis M. Fernández,et al.  ANFIS-Based Control of a Grid-Connected Hybrid System Integrating Renewable Energies, Hydrogen and Batteries , 2014, IEEE Transactions on Industrial Informatics.

[4]  Rosa A. Mastromauro,et al.  Control Issues in Single-Stage Photovoltaic Systems: MPPT, Current and Voltage Control , 2012, IEEE Transactions on Industrial Informatics.

[5]  Xutao Li,et al.  A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization , 2013, 2013 IEEE 10th International Conference on Power Electronics and Drive Systems (PEDS).

[6]  Mohamed Elshaer,et al.  Smart optimal control of DC-DC boost converter for intelligent PV systems , 2011, 2011 16th International Conference on Intelligent System Applications to Power Systems.

[7]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[8]  J. Hung,et al.  Evaluation of DSP-Based PID and Fuzzy Controllers for DC–DC Converters , 2009, IEEE Transactions on Industrial Electronics.

[9]  Han-Xiong Li,et al.  A Saturation-Based Tuning Method for Fuzzy PID Controller , 2013, IEEE Transactions on Industrial Electronics.

[10]  Said Oucheriah,et al.  PWM-Based Adaptive Sliding-Mode Control for Boost DC–DC Converters , 2013, IEEE Transactions on Industrial Electronics.

[11]  Yuan Li,et al.  Quasi-Z-Source Inverter-Based Photovoltaic Generation System With Maximum Power Tracking Control Using ANFIS , 2013, IEEE Transactions on Sustainable Energy.

[12]  Hsing-Cheng Yu,et al.  Adaptive Fuzzy Logic Proportional-Integral-Derivative Control for a Miniature Autofocus Voice Coil Motor Actuator With Retaining Force , 2014, IEEE Transactions on Magnetics.

[13]  Vimala Vindhya,et al.  PID-Fuzzy logic hybrid controller for a digitally controlled DC-DC converter , 2013, 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE).

[14]  Renan F. Bastos,et al.  An Intelligent Control System Used to Improve Energy Production From Alternative Sources With DC/DC Integration , 2014, IEEE Transactions on Smart Grid.

[15]  Yong Kang,et al.  A Variable Step Size INC MPPT Method for PV Systems , 2008, IEEE Transactions on Industrial Electronics.

[16]  N. Minorsky.,et al.  DIRECTIONAL STABILITY OF AUTOMATICALLY STEERED BODIES , 2009 .

[17]  A. Rubaai,et al.  DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives , 2008, IEEE Transactions on Industry Applications.

[18]  Luis Martinez-Salamero,et al.  Start-Up Control and Voltage Regulation in a Boost Converter Under Sliding-Mode Operation , 2013, IEEE Transactions on Industrial Electronics.

[19]  Mukhtiar Singh,et al.  Real-Time Implementation of ANFIS Control for Renewable Interfacing Inverter in 3P4W Distribution Network , 2013, IEEE Transactions on Industrial Electronics.