This paper presents a control strategy for a DC–DC buck converter that combines a double-hidden-layer recurrent neural network (DHLRNN) with a fractional-order sliding mode controller (FOSMC) and compensates for disturbances through a finite-time disturbance observer (FTDO). The inclusion of the fractional-order term in the SMC is to improve the control accuracy of the DC–DC buck converter. To counteract the adverse effects of system nonlinearities such as disturbances and uncertainties, an FTDO is designed to compensate for the mismatched disturbances. In addition, a DHLRNN is employed to approximate the nonlinear function of the converter system. The effectiveness of this method is verified by experimental results on the converter. Compared with other control methods, this method provides higher voltage tracking accuracy and faster dynamic response under various operating conditions.
AlamZRoyTKGhoshSK, et al. (2023) Control of DC–DC buck converters using robust composite backstepping and integral terminal sliding mode approaches. IEEE Journal of Emerging and Selected Topics in Industrial Electronics4: 866–877.
2.
BabesBMekhilefSBoutaghaneA, et al. (2022) Fuzzy approximation-based fractional-order nonsingular terminal sliding mode controller for DC–DC buck converters. IEEE Transactions on Power Electronics37: 2749–2760.
3.
CaiJZhangXZhangW, et al. (2022) An integrated power converter-based brushless DC motor drive system. IEEE Transactions on Power Electronics37: 8322–8332.
4.
CallegaroLCiobotaruMPaganoDJ, et al. (2019) Feedback linearization control in photovoltaic module integrated converters. IEEE Transactions on Power Electronics34: 6876–6889.
5.
CenZStewartP (2017) Condition parameter estimation for photovoltaic buck converters based on adaptive model observers. IEEE Transactions on Reliability66: 148–160.
6.
ChadhaAKazimierczukMK (2021) Small-signal modeling of open-loop PWM tapped-inductor buck DC-DC converter in CCM. IEEE Transactions on Industrial Electronics68: 5765–5775.
7.
ChengYWenGDuH (2020) Design of robust discretized sliding mode controller: Analysis and application to buck converters. IEEE Transactions on Industrial Electronics67: 10672–10681.
8.
FeiJChenY (2021) Fuzzy double hidden layer recurrent neural terminal sliding mode control of single-phase active power filter. IEEE Transactions on Fuzzy Systems29: 3067–3081.
9.
FeiJGongX (2024) Self-organizing fuzzy neural nonsingular fast terminal sliding mode control of DC-DC buck converter. IEEE Transactions on Circuits and Systems I: Regular Papers71: 4309–4322.
10.
FeiJWangJ (2024) Self-organizing Chebyshev fuzzy neural network integral terminal sliding mode control of active power filter. IEEE Internet of Things Journal11: 26291–26303.
11.
KimS-JJinMSuhJ-H (2023) A study on the design of error-based adaptive robust RBF neural network back-stepping controller for 2-DOF snake robot’s head. IEEE Access11: 23146–23156.
LiJYangG-H (2020) Fuzzy descriptor sliding mode observer design: A canonical form-based method. IEEE Transactions on Fuzzy Systems28: 2048–2062.
14.
LinXLiuJLiuF, et al. (2021) Fractional-order sliding mode approach of buck converters with mismatched disturbances. IEEE Transactions on Circuits and Systems I: Regular Papers68: 3890–3900.
15.
LingRShuZHuQ, et al. (2018) Second-order sliding-mode controlled three-level buck DC-DC converters. IEEE Transactions on Industrial Electronics65: 898–906.
16.
LiuZGongXFeiJ (2025) Nonsingular fast terminal sliding mode control of DC–DC buck converter using fuzzy neural network and disturbance observer. Nonlinear Dynamics113: 13389–13414.
17.
MaLZhangYYangX, et al. (2018) Quasi-continuous second-order sliding mode control of buck converter. IEEE Access6: 17859–17867.
18.
ParkHHChoGH (2014) A DC-DC converter for a fully integrated PID compensator with a single capacitor. IEEE Transactions on Circuits and Systems II: Express Briefs61: 629–633.
19.
PeyghamiSBlaabjergFPalenskyP (2021) Incorporating power electronic converters reliability into modern power system reliability analysis. IEEE Journal of Emerging and Selected Topics in Power Electronics9: 1668–1681.
20.
PrabhakaranPAgarwalV (2020) Novel boost-SEPIC type interleaved DC-DC converter for mitigation of voltage imbalance in a low-voltage bipolar DC microgrid. IEEE Transactions on Industrial Electronics67: 6494–6504.
VeeracharyM (2016) Analysis of minimum-phase fourth-order buck DC-DC converter. IEEE Transactions on Industrial Electronics63: 144–154.
23.
WangHZhangZWengC-Y, et al. (2024) Robust finite-time control for DC-DC buck converter with inductor current constraint. IEEE Transactions on Industrial Electronics71: 9631–9638.
24.
WangJFeiJ (2023) Self-feedback neural network sliding mode control with extended state observer for active power filter. IEEE Internet of Things Journal10: 11724–11738.
25.
WangYZhangWXueC (2022) Adaptive continuous sliding mode control of buck converters with multidisturbances based on zero-crossing detection. IEEE Access10: 72643–72657.
26.
WangZLiSLiQ (2020) Discrete-time fast terminal sliding mode control design for DC-DC buck converters with mismatched disturbances. IEEE Transactions on Industrial Informatics16: 1204–1213.
27.
XiangYChungHS-HShenR, et al. (2024) An ANN-based output-error-driven incremental model predictive control for buck converter against parameter variations. IEEE Journal of Emerging and Selected Topics in Power Electronics12: 1230–1248.
28.
YangJFangYFeiJ (2024) Chebyshev fuzzy neural finite time strategy using extended Kalman filter. IEEE Internet of Things Journal11: 28452–28464.
29.
YangJWuBLiS, et al. (2016) Design and qualitative robustness analysis of an DOBC approach for DC-DC buck converters with unmatched circuit parameter perturbations. IEEE Transactions on Circuits and Systems I: Regular Papers63: 551–560.
30.
ZhaoYQiaoWHaD (2014) A sliding-mode duty-ratio controller for DC/DC buck converters with constant power loads. IEEE Transactions on Industry Applications50: 1448–1458.
31.
ZhouMSuHFengY, et al. (2024) Super-twisting algorithm-based fractional-order sliding-mode control of nonlinear systems with mismatched uncertainties. IEEE Transactions on Industrial Electronics71: 9510–9519.
