Chip-implementation of a self-tuning nonlinear function control for DC-DC converters

Purpose – The DC‐DC converters which convert one level of electrical voltage to the desired level are widely used in many electrical peripherals. During the past two decade, many different control laws have been developed. The proportional‐integral (PI) control and sliding‐mode control have been carried out for the DC‐DC converters since they are simple to implement and easy to design. However, its performance using PI control and sliding‐mode control is obviously quite limited. The purpose of this paper is to a self‐tuning nonlinear function control (STNFC) propose for the DC‐DC converters. The adaptation laws of the proposed STNFC system are derived in the sense of Lyapunov function, thus not only the controller parameters can be online tuned itself, but also the system's stability can be guaranteed.Design/methodology/approach – In general, the accurate mathematical models of the DC‐DC converters are difficult to derive. This paper proposes a model‐free STNFC design method. Since the proposed STNFC uses...

[1]  Yan-Fei Liu,et al.  A novel method to achieve zero-voltage regulation in buck converter , 1995 .

[2]  D. He,et al.  Fuzzy logic average current-mode control for DC/DC converters using an inexpensive 8-bit microcontroller , 2004, Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting..

[3]  Chih-Min Lin,et al.  Hybrid Fuzzy Sliding-Mode Control of an Aeroelastic System , 2002 .

[4]  Syuan-Yi Chen,et al.  FPGA-Based Computed Force Control System Using Elman Neural Network for Linear Ultrasonic Motor , 2009, IEEE Transactions on Industrial Electronics.

[5]  Volnei A. Pedroni.  Circuit Design with VHDL , 2004 .

[6]  Rong-Jong Wai,et al.  Fuzzy Sliding-Mode Control Using Adaptive Tuning Technique , 2007, IEEE Transactions on Industrial Electronics.

[7]  Chih-Min Lin,et al.  Adaptive Neuro-Wavelet Control for Switching Power Supplies , 2007, IEEE Transactions on Power Electronics.

[8]  Chun-Fei Hsu,et al.  Supervisory intelligent control system design for forward DC-DC converters , 2006 .

[9]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[10]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[11]  K.K.S. Leung,et al.  Derivation of a second-order switching surface in the boundary control of buck converters , 2004, IEEE Power Electronics Letters.

[12]  F. L. Luo,et al.  Sliding-mode control for dc-dc converters with constant switching frequency , 2006 .

[13]  C. K. Michael Tse,et al.  General Design Issues of Sliding-Mode Controllers in DC–DC Converters , 2008, IEEE Transactions on Industrial Electronics.

[14]  Daniel M. Mitchell,et al.  Dc-Dc Switching Regulator Analysis , 1988 .

[15]  Byung Kook Kim,et al.  Design of a single-input fuzzy logic controller and its properties , 1999, Fuzzy Sets Syst..

[16]  H. L. Liu,et al.  Optimal PWM design for high power three-level inverter through comparative studies , 1995 .

[17]  Feng Luo,et al.  An Integrated Switching DC-DC Converter With Dual-Mode Pulse-Train/PWM Control , 2009, IEEE Trans. Circuits Syst. II Express Briefs.

[18]  Dipti Srinivasan,et al.  Nonlinear function controller: a simple alternative to fuzzy logic controller for a power electronic converter , 2005, IEEE Transactions on Industrial Electronics.

[19]  J. Álvarez-Ramírez,et al.  A stable design of PI control for DC-DC converters with an RHS zero , 2001 .

[20]  Chih-Min Lin,et al.  Self-learning fuzzy sliding-mode control for antilock braking systems , 2003, IEEE Trans. Control. Syst. Technol..

[21]  Chun-Fei Hsu,et al.  Fuzzy-identification-based adaptive controller design via backstepping approach , 2005, Fuzzy Sets Syst..