<p>To reduce the cross-regulation of single-inductor dual-output (SIDO) buck converter, an adaptive sliding mode control strategy based on inverse system theory is proposed. An affine nonlinear model of the SIDO buck converter is established, and an output function satisfying exact feedback linearization (EFL) is constructed based on the inverse system theory. The model is linearized into two pseudo linear subsystems. An adaptive mechanism is introduced into the design of sliding mode reaching law, and an adaptive reaching law is proposed to design the sliding mode controller for the pseudo linear subsystems. The stability of the control system is verified based on Lyapunov stability theory. Finally, simulation results and experimental results show that the proposed control strategy has smaller cross-regulation and better robustness compared with the existing control methods.</p>

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Adaptive sliding mode control for single-inductor dual-output buck converter with inverse system theory

  • Hailong Ma,
  • Lin Yang,
  • Minggui Mo,
  • Jiarong Wu

摘要

To reduce the cross-regulation of single-inductor dual-output (SIDO) buck converter, an adaptive sliding mode control strategy based on inverse system theory is proposed. An affine nonlinear model of the SIDO buck converter is established, and an output function satisfying exact feedback linearization (EFL) is constructed based on the inverse system theory. The model is linearized into two pseudo linear subsystems. An adaptive mechanism is introduced into the design of sliding mode reaching law, and an adaptive reaching law is proposed to design the sliding mode controller for the pseudo linear subsystems. The stability of the control system is verified based on Lyapunov stability theory. Finally, simulation results and experimental results show that the proposed control strategy has smaller cross-regulation and better robustness compared with the existing control methods.