Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC–DC Converters Feeding CPLs

Ghosh, Subarto Kumar; Roy, T. K.; Pramanik, M. A. H.; Mahmud, M. A.

doi:10.3390/en14206753

Cited by 16 publications

(7 citation statements)

References 51 publications

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“…The action of the integrator can overcome the total perturbation (20). To consider the output, z 1 (t), of the integrator by the inputs of reference r(t) and disturbance w(t):…”

Section: The Determination Of Sliding Mode Control Lawmentioning

confidence: 99%

A Novel Robust Control System Design and Its Application to Servo Motor Drive

Lai,

Chen,

Chan

2024

Applied Sciences

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This paper proposes a new control system by integrating integral state feedback control and sliding mode control to eliminate the influences from the reference input change, external load, and parameter variations. For most control systems, integral action is used to overcome the reference input change and external load. However, its control performance cannot be guaranteed. State feedback control is used to dominate the pole location of the closed-loop control system. However, the system parameters determine their pole locations and may change due to uncertainties. Thus, the characteristics of the closed-loop control system are changed. Sliding mode control is used to compensate for the effect of the parameter variations and make the system invariant. The resulting system combines linear state feedback and sliding mode control to guarantee the desired performance. This shows that the proposed system can be easily applied and designed. A servo control system is used to demonstrate the performance, and simulations and experiments are carried out to evaluate the newly defined structure. They show that the strategies and control design can reach robust performance even with uncertainties or external load, and the chattering of the sliding mode control can be minimized.

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“…The action of the integrator can overcome the total perturbation (20). To consider the output, z 1 (t), of the integrator by the inputs of reference r(t) and disturbance w(t):…”

Section: The Determination Of Sliding Mode Control Lawmentioning

confidence: 99%

A Novel Robust Control System Design and Its Application to Servo Motor Drive

Lai,

Chen,

Chan

2024

Applied Sciences

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“…A solution to the chattering phenomenon in SMC in power electronics is introduced in the study of Pamdey et al [19], Ghosh et al [20], and Das et al [21]. An integral SMC is developed which solves the chattering issue in the control signal.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear controller for SEPIC with single variable to tune

Haj,

Sood,

Sheir

et al. 2024

Energ. Stor. Conv.

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This work proposes a systematic approach to design a novel integral sliding mode controller (ISMC) for a single-ended primary-inductor converter (SEPIC) with only one tunable parameter where the upper and the lower bounds are derived. The designed surface results in a minimal chattering behaviour at the output voltage as well as at the duty cycle and allows for operating the SEPIC at a fixed switching frequency. The proposed controller can withstand up to a 70% variation in the input voltage and 100% variation on the load side in addition to superior performance for a cold start. The proposed controller and the corresponding mathematical formulation were simulated in a Simulink environment and experimentally tested via a scaled prototype. The proposed controller performance is also compared to a Type-II and integral Linear-Quadratic Regulators (LQR).

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“…The nonlinear control problem has been widely studied because many practice systems are usually described as nonlinear models [1][2][3], such as permanent magnet synchronous motors [4], induction motor systems [5,6], and four-tank systems [7]. To achieve a better control effect, a series of nonlinear control techniques, such as adaptive control and the backstepping technique, are developed [8][9][10][11][12]. An adaptive backstepping method, which comes from the combination of adaptive control and the backstepping technique, is an important technique to handle the parameters uncertainty of high-order nonlinear systems [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Adaptive Asymptotic Control for a Class of Large-Scale High-Order Unknown Nonlinear Systems

Ju.

Song

2023

Applied Sciences

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This paper studies the asymptotic control problem of a class of large-scale high-order nonlinear systems (LSHONSs), and an asymptotic fuzzy adaptive dynamic surface controller is developed. Unknown nonlinear terms are learned online by fuzzy logic systems (FLSs) such that the accurate nonlinear model is released in the controller design procedure, where the parameters of FLSs are updated by developing adaptive laws. To compensate for the “boundary error” caused by the dynamic surface control method where a linear filter is added in the backstepping procedure to handle the “explosion of complexity” problem, a nonlinear filter is proposed to eliminate the boundary layer error. Some simulations are given to demonstrate the effectiveness of the proposed algorithm.

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Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC–DC Converters Feeding CPLs

Cited by 16 publications

References 51 publications

A Novel Robust Control System Design and Its Application to Servo Motor Drive

A Novel Robust Control System Design and Its Application to Servo Motor Drive

Nonlinear controller for SEPIC with single variable to tune

Fuzzy Adaptive Asymptotic Control for a Class of Large-Scale High-Order Unknown Nonlinear Systems

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