Real-Time Voltage Control Based on a Cascaded Super Twisting Algorithm Structure for DC–DC Converters

Rakhtala, Seyed Mehdi; Casavola, Alessandro

doi:10.1109/tie.2021.3051551

Cited by 30 publications

(17 citation statements)

References 19 publications

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“…In terms of control laws, the design of both first and second-order SM needs to meet the sliding mode arrival condition to ensure the system stability. However, from the mechanism of HOSM chattering suppression based on relative order [41]- [45], the difference between the two is that: the 1-SM will switch the control term sgn(•) acting on the ṡ to ensure the existence of s = 0 [28]- [30]. Then the system states continue to converge, and finally x 1 = x 2 = 0 can be realized according to (11), but the chattering problem still exists.…”

Section: B Description Of the Sm Controllermentioning

confidence: 99%

“…Its idea is to design the switching control term sgn(•) originally placed on the first derivative of the sliding variables to act on their higher derivatives. Therefore the real control laws will be smoothed by the integral operation, and chattering elim-ination and the desired control continuity can be further obtained, and the second-order SM (2-SM) has developed as a popularly used type for the application in DC-DC converter systems [42], and the twisting algorithm [43], sub-optimal algorithm [44] and super-twisting algorithm [45] are among the most popular approaches. In order to enhance the output constraint of the 2-SM of the nonlinear system under disturbance, some researches also focus on the design scheme of the 2-SM based on the barrier Lyapunov function (BLF) [46]- [48].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

2022

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In this paper, a novel adaptive continuous sliding mode (SM) control approach is proposed based on the robust stability analysis of buck converters with multi-disturbances. Instead of the traditional first-order SM methods, the twisting algorithm is adopted to realize the control continuity and further weaken their inherent chattering problem. By introducing the zero-crossing detection innovatively, the influence of the traditional twisting algorithm with fixed control gain led to the low precision is effectively eliminated, and the small region can be controlled due to the implementation of the adaptive time-varying control gain. In addition, the magnitude of the controller can be reduced to a minimal admissible level determined by the system stable conditions and the selection of optimization parameters. Furthermore, multiple model uncertainties and external disturbances are considered into the modeling of the buck converters and the proposed adaptive SM controllers to ensure the strong robustness of the whole system while suffering possible disturbances. Finally, comparative simulations and experiments are given to validate the effectiveness of the proposed adaptive control strategy.INDEX TERMS Adaptive continuous sliding mode control, buck converters, zero-crossing detection, multidisturbances, twisting sliding mode control.

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Section: B Description Of the Sm Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

2022

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“…In the above, we proposed a single-link joint manipulator based system model to study the SMC design. In fact, we know that SMC can be combined with different algorithm to improve the its performance, for instance, the super twisting algorithm could avoid some disadvantages of SMC, therefore, it has significant potential application in the field such as knee exoskeleton [30] and DC-DC converter [31] , etc.…”

Section: Remarkmentioning

confidence: 99%

Observer-based integral sliding mode control of nonlinear systems with application to single-link flexible joint robotics

Liu¹,

Cai²,

Chen³

et al. 2021

CES

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This paper proposes the topics of sliding mode control for nonlinear Takagi-Sugeno systems based on a state observer with application to single-link flexible joint robotic. Firstly, a state observer relying on estimated premise variables is constructed, based on which we define an integral-type switching surface function on the estimation space. Secondly, by the equivalent control method, a sliding mode dynamics with an error system is obtained. Then, an adaptive variable structure controller is constructed to make sure that the predefined switching surface will be arrived in finitetime. Furthermore, stability analysis with an 𝐻 ∞ performance is analyzed for the whole closed-loop system by linear matrix inequality condition. Finally, simulation study based on the robotics is conducted to confirm the validity of the proposed observer-based fuzzy controller.

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“…At present, second-order SM (2-SM) is the most popular HOSM applied in practice. More specifically, the twisting algorithm [35], sub-optimal algorithm [36], and super-twisting algorithm [37] are the often-used 2-SM. However, when facing unknown and complex disturbances, these algorithms suffer from overestimation and unnecessary control magnitudes, leading to the degradation of performances and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Second-Order Sliding Mode Control of Buck Converters with Multi-Disturbances

et al. 2022

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In this paper, a novel adaptive second-order sliding mode (2-SM) control approach, based on online zero-crossing detection, was proposed to solve the problems of the chattering and fixed control gain for buck converters with multi-disturbances. In modeling, the possible parameter perturbations and external disturbances of the converter system were contained. Instead of the traditional first-order sliding mode (1-SM), the twisting algorithm with 2-SM was adopted for the controller design, which could overcome the chattering problem and realize control continuity. Meanwhile, a novel adaptive mechanism was introduced to replace the conventional fixed control gain by time-varying control gain, the idea of which is to calculate the number of the zero-crossing points of the sliding surface online. As a result, the control magnitude of the improved controller could be reduced to a minimal admissible level, and the steady error of the output voltage could converge to the expected value. Furthermore, the robust stability of the converter system with multi-disturbances wads investigated. Comparative simulations and experiments validated the advantages of this paper as offering better robustness and control performance.

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Real-Time Voltage Control Based on a Cascaded Super Twisting Algorithm Structure for DC–DC Converters

Cited by 30 publications

References 19 publications

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

Observer-based integral sliding mode control of nonlinear systems with application to single-link flexible joint robotics

Adaptive Second-Order Sliding Mode Control of Buck Converters with Multi-Disturbances

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