Advanced discrete-time sliding mode control with fast output sampling and its application to buck converter

Samantaray, Jagannath; Chakrabarty, Sohom; Bartoszewicz, Andrzej

doi:10.1016/j.automatica.2022.110802

Cited by 4 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even if the fast states achieve steady state in just 2–3 steps with Gajic (2015a) as depicted in Figure 2, they do not capture the initial transients as captured by other controls. Another multirate sampling scheme, that is FOS (Samantaray et al, 2023) is also used for comparison. In FOS, the output is sampled faster to generate control input; hence, only the final control input ( u ) is compared as shown in Figure 3.…”

Section: Numerical Examples and Simulation Resultsmentioning

confidence: 99%

“…However, it should estimate the exact decoupled states for sampling. To overcome the need for an observer, very recently, multirate output feedback-based fast output sampling (FOS) technique is suggested in Samantaray et al (2023). In FOS, the output is sampled faster than the control input.…”

Section: Introductionmentioning

confidence: 99%

“…However, the method lacks robustness, and hence, it is integrated with sliding mode control. Furthermore, the approach in Samantaray et al (2023) does not cover time-scale decoupling.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two-stage multirate state feedback control designs for systems with slow and fast eigenvalue modes

Munje¹,

Patre²

2023

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Design of feedback control, for a system with slow and fast eigenvalue modes, using single sampling rate results in either information loss (for a larger sampling period) or increased computations (for a smaller sampling period). This paper contributes to designing multirate state feedback controllers for such systems. In this, it is shown that the feedback control for a linear time-invariant system, having slow and fast eigenvalue modes, can be successfully designed by multirate sampling of states in two stages. Multirate sampling refers to sampling slow- and fast-varying states at different rates, that is sampling slow states at a lower rate than the fast states. Here, two approaches for multirate sampling of states are presented, depending on the sampling sequence. In the first approach, fast subsystem states are sampled initially, and then, slow subsystem states are sampled, whereas in the second approach, slow subsystem states are sampled before sampling the fast subsystem states. As far as the two-stage design is concerned, the first stage of the design of feedback control is initiated just after sampling the first subsystem. Then, the left subsystem is sampled, and the second stage of the design of feedback control is accomplished. It is proved that the feedback controls derived with the multirate sampling of states stabilize the full-order system in both approaches. The design and implementation aspects of both approaches are compared. Finally, the applicability of the proposed control is demonstrated by simulating two examples. Simulations are also compared with other methods proposed in the literature.

show abstract

Section: Numerical Examples and Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two-stage multirate state feedback control designs for systems with slow and fast eigenvalue modes

Munje¹,

Patre²

2023

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…Fuzzy control has a strong nonlinear adaptive ability [10], which can overcome the shortcomings of the traditional PID controller, but cannot overcome the influence of load uncertainty in the Buck-Boost converter. Sliding mode control [11] can solve the problem of model uncertainty, but it will lead to the chattering of output voltage [12], and variable switching frequency will lead to electromagnetic interference [13], so the system has a steady-state error. This approach still does not meet the control performance requirements of the system.…”

Section: Introductionmentioning

confidence: 99%

Anti-Interference Control Method of Buck–Boost Converter Based on High-Order Nonlinear Disturbance Observer

Chang,

Yu,

Luo

et al. 2024

Electronics

View full text Add to dashboard Cite

A compound anti-interference control method based on a high-order nonlinear disturbance observer (HONDO) is proposed to address the impact of system disturbances on output voltage when applying the Buck–Boost converter in a microgrid to provide power to loads. Initially, the dynamic circuit model of the Buck–Boost converter is formulated, taking into account the system disturbance. Subsequently, HONDOs are designed to provide real-time estimates of uncertain factors in both the voltage loop and current loop of the circuit. These estimates are then utilized to design backstepping controllers aimed at effectively tracking the load output voltage set point. The simulation and experimental findings indicate that, when faced with load mutations, input voltage variations, and uncertainties in system parameters, the proposed compound anti-interference control method outperforms traditional control techniques by offering superior response speed, broader disturbance estimation capabilities, and enhanced dynamic performance of the Buck–Boost converter.

show abstract

Switching sliding mode control for systems with disturbance and applications to multi-agent systems

Sun,

Peng

2024

International Journal of Control

View full text Add to dashboard Cite

Advanced discrete-time sliding mode control with fast output sampling and its application to buck converter

Cited by 4 publications

References 19 publications

Two-stage multirate state feedback control designs for systems with slow and fast eigenvalue modes

Two-stage multirate state feedback control designs for systems with slow and fast eigenvalue modes

Anti-Interference Control Method of Buck–Boost Converter Based on High-Order Nonlinear Disturbance Observer

Switching sliding mode control for systems with disturbance and applications to multi-agent systems

Contact Info

Product

Resources

About