DC–DC converters design using a type-2 wavelet fuzzy cerebellar model articulation controller

Recently, boost and buck converters are widely applied in many applications, especially in recycled energy industry. The efficiency of DC–DC converter, which can increase or decrease the input voltage according to the driver output voltage, can effectively affect the total efficiency of the systems. In this paper, a sliding mode interval type-2 fuzzy wavelet cerebellar model articulation controller (T2WFCMAC)-based control system is designed for the DC–DC converters. The proposed control system contains a main controller and a robust compensation controller. The main controller is the T2WFCMAC which is used to mimic an ideal controller, and the robust compensation is designed to compensate for the approximation error between the main controller and the ideal controller. The sliding hyperplane is applied to improve the robustness of the control system. All the adaptive laws for adjusting the parameters of T2WFCMAC are obtained using the gradient descent method. The stability of control system is guaranteed in the sense of Lyapunov function. Finally, numerical experimental results of boost and buck converters are presented to illustrate the effectiveness of the proposed approach under the change in the input voltage and the load resistance variations.

[1]  G. Uma,et al.  Design and implementation of reduced-order sliding mode controller for higher-order power factor correction converters , 2011 .

[2]  Slobodan Cuk,et al.  Advances in Switched-Mode Power Conversion Part II , 1983, IEEE Transactions on Industrial Electronics.

[3]  Mihai Ciobotaru,et al.  Model predictive control for DC-DC boost converters with constant switching frequency , 2016, 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC).

[4]  Jun Zhang,et al.  Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[5]  Dongrui Wu,et al.  Two Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers: Adaptiveness and Novelty , 2013, Advances in Type-2 Fuzzy Sets and Systems.

[6]  José Marcos Alonso Alvarez,et al.  Analysis and Design of the Integrated Double Buck–Boost Converter as a High-Power-Factor Driver for Power-LED Lamps , 2012, IEEE Transactions on Industrial Electronics.

[7]  Chih-Min Lin,et al.  A Self-Organizing Interval Type-2 Fuzzy Neural Network for Radar Emitter Identification , 2014 .

[8]  S. M. Abd-Elazim,et al.  PI controller design for MPPT of photovoltaic system supplying SRM via BAT search algorithm , 2017, Neural Computing and Applications.

[9]  Aditi Kumbhojkar,et al.  A novel sliding mode control technique for DC to DC buck converter , 2014, 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014].

[10]  Rong-Jong Wai,et al.  Wavelet neural network control for induction motor drive using sliding-mode design technique , 2003, IEEE Trans. Ind. Electron..

[11]  Young-Joo Lee,et al.  A Compensation Technique for Smooth Transitions in a Noninverting Buck–Boost Converter , 2009, IEEE Transactions on Power Electronics.

[12]  Chih-Min Lin,et al.  Type-2 fuzzy controller design using a sliding-mode approach for application to DC-DC converters , 2005 .

[13]  Zhiming Zhang,et al.  Trapezoidal interval type-2 fuzzy aggregation operators and their application to multiple attribute group decision making , 2018, Neural Computing and Applications.

[14]  Robert John,et al.  Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems , 2018, IEEE Transactions on Fuzzy Systems.

[15]  Philip T. Krein,et al.  On the use of averaging for the analysis of power electronic systems , 1989 .

[16]  Erkan Deniz,et al.  ANN-based MPPT algorithm for solar PMSM drive system fed by direct-connected PV array , 2016, Neural Computing and Applications.

[17]  Chih-Min Lin,et al.  Wavelet Adaptive Backstepping Control for a Class of Nonlinear Systems , 2006, IEEE Transactions on Neural Networks.

[18]  Chih-Min Lin,et al.  WCMAC-based control system design for nonlinear systems using PSO , 2017, J. Intell. Fuzzy Syst..

[19]  Chih-Min Lin,et al.  Synchronization of unified chaotic system via adaptive wavelet cerebellar model articulation controller , 2012, Neural Computing and Applications.

[20]  Mahesh K. Mishra,et al.  A Single-Stage Grid-Connected High Gain Buck–Boost Inverter With Maximum Power Point Tracking , 2017, IEEE Transactions on Energy Conversion.

[21]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[22]  Markus Voelter,et al.  State of the Art , 1997, Pediatric Research.

[23]  Cheng-Jian Lin,et al.  Medical diagnosis applications using a novel interactively recurrent self-evolving fuzzy CMAC model , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[24]  Chih-Min Lin,et al.  Intelligent Hybrid Control System Design for Antilock Braking Systems Using Self-Organizing Function-Link Fuzzy Cerebellar Model Articulation Controller , 2013, IEEE Transactions on Fuzzy Systems.

[25]  Hung-Ching Lu,et al.  Robust parametric CMAC with self-generating design for uncertain nonlinear systems , 2011, Neurocomputing.

[26]  Dongrui Wu,et al.  On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers , 2012, IEEE Transactions on Fuzzy Systems.

[27]  Shihua Li,et al.  Prescribed-Time Second-Order Sliding Mode Controller Design Subject to Mismatched Term , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[28]  Xinghuo Yu,et al.  Sliding-Mode Control With Soft Computing: A Survey , 2009, IEEE Transactions on Industrial Electronics.

[29]  Yaow-Ming Chen,et al.  Boost Converter With Coupled Inductors and Buck–Boost Type of Active Clamp , 2008, IEEE Transactions on Industrial Electronics.

[30]  Xinghuo Yu,et al.  Computer-Controlled Variable Structure Systems: The State-of-the-Art , 2012, IEEE Transactions on Industrial Informatics.

[31]  Ping-Zong Lin,et al.  Type-2 fuzzy controller design using a sliding-mode approach for application to DC – DC converters , 2000 .

[32]  Yasemin Onal,et al.  DSP based embedded code generation for PMSM using sliding mode controller , 2014, 2014 16th International Power Electronics and Motion Control Conference and Exposition.

[33]  Chih-Min Lin,et al.  Fuzzy–Neural Sliding-Mode Control for DC–DC Converters Using Asymmetric Gaussian Membership Functions , 2007, IEEE Transactions on Industrial Electronics.

[34]  Chih-Min Lin,et al.  Self-Organizing CMAC Control for a Class of MIMO Uncertain Nonlinear Systems , 2009, IEEE Transactions on Neural Networks.

[35]  Howard Tang,et al.  A 400 nW Single-Inductor Dual-Input–Tri-Output DC–DC Buck–Boost Converter With Maximum Power Point Tracking for Indoor Photovoltaic Energy Harvesting , 2015, IEEE Journal of Solid-State Circuits.

[36]  Mario Huemer,et al.  Fixed-frequency Pseudo Sliding Mode control for a Buck-Boost DC-DC converter in mobile applications: A comparison with a linear PID controller , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

[37]  Jerry M. Mendel,et al.  Interval type-2 fuzzy logic systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[38]  Vinod John,et al.  High performance buck-boost converter based PV characterisation set-up , 2017, 2017 IEEE Energy Conversion Congress and Exposition (ECCE).

[39]  S. Meysam Mousavi,et al.  Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry , 2017, Neural Computing and Applications.

[40]  Yu-Sheng Lai,et al.  An improved boost converter with coupled inductors and buck-boost type of active clamp , 2008, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[41]  Jianbin Qiu,et al.  Sliding mode control for non-linear systems by Takagi-Sugeno fuzzy model and delta operator approaches , 2017 .

[42]  Fred C. Lee,et al.  Analysis of Unified Output MPPT Control in Subpanel PV Converter System , 2014, IEEE Transactions on Power Electronics.

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

[44]  Han Chao,et al.  Finite Time Sliding Mode Controller for a Rigid Satellite in Presence of Actuator Failure , 2016, 2016 3rd International Conference on Information Science and Control Engineering (ICISCE).

[45]  James S. Albus,et al.  New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .

[46]  P. Vivek,et al.  A novel approach on MPPT algorithm for solar panel using buck boost converter , 2016, 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS).

[47]  Yaonan Wang,et al.  Adaptive Force/Motion Control System Based on Recurrent Fuzzy Wavelet CMAC Neural Networks for Condenser Cleaning Crawler-Type Mobile Manipulator Robot , 2014, IEEE Transactions on Control Systems Technology.

[48]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..