Adaptive disturbance observer-based improved super-twisting sliding mode control for electromagnetic direct-drive pump

Lu, Yingtao; Tan, Cao; Ge, Wenqing; Zhao, Yanjun; Wang, Geng

doi:10.1088/1361-665x/aca84e

Cited by 37 publications

(12 citation statements)

References 44 publications

(50 reference statements)

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“…The design of an efficient control algorithm is crucial to successfully navigating the complex details of quadcopters, with the ultimate objective of maximizing their performance in various operational situations ( Li, Ge & Lee, 2021 ; Zhang, Zhou & Li, 2023 ; Zhang et al, 2023 ). This approach guarantees both stability and precision during flight and highlights the ongoing development of control methods to meet the changing requirements of unmanned aerial vehicle technology ( Shi et al, 2023 ; Chen et al, 2022 ; Lu et al, 2022 ).…”

Section: Introductionmentioning

confidence: 94%

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Ren,

Wang,

Guan

2024

PeerJ Computer Science

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This study investigates the dynamics and trajectory tracking of quadcopters by utilizing the Disturbance Observer-based Control (DOBC) algorithm. The quadcopter’s dynamic model, which consists of six degrees of freedom, includes both disturbances and uncertainties in the model. The DOBC approach incorporates the disturbance model into the system by introducing it at the input variables. It then compensates for disturbances to achieve accurate tracking of different reference trajectories. The simulated trajectories span a range of motion, varying from simple straight paths to complex spiral paths. In order to verify and evaluate the efficacy of the suggested control technique, simulations are performed using MATLAB. The simulations conclusively show that the disturbance observer-based method effectively achieves the tracking of specified reference trajectories in three-dimensional space. The study highlights the effectiveness of the DOBC algorithm in reducing the effects of disturbances and uncertainties, thereby improving the quadcopter’s capacity to accurately track various trajectories.

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Section: Introductionmentioning

confidence: 94%

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Ren,

Wang,

Guan

2024

PeerJ Computer Science

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“…Some researchers have presented the two-phase DC–DC, where one phase is a GaN-based transistor while another phase is a SiC-based MOSFET 24 . A design of a 15,000W DC/DC converter along with LLC topology as SiC devices to decrease the power loss with high efficiency 25 . They showed that their proposed converter was 98.4%, which is 3% higher than the conventional converter.…”

Section: Related Workmentioning

confidence: 99%

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Waheed,

Rehman,

Alsaif

et al. 2024

Sci Rep

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In response to the growing demand for fast-charging electric vehicles (EVs), this study presents a novel hybrid multimodule DC–DC converter based on the dual-active bridge (DAB) topology. The converter comprises eight modules divided into two groups: four Insulated-Gate Bipolar Transistor (IGBT) modules and four Metal–Semiconductor Field-Effect Transistor (MESFET) modules. The former handles high power with a low switching frequency, while the latter caters to lower power with a high switching frequency. This configuration leverages the strengths of both types of semiconductors, enhancing the converter’s power efficiency and density. To investigate the converter’s performance, a small-signal model is developed, alongside a control strategy to ensure uniform power sharing among the modules. The model is evaluated through simulation using MATLAB, which confirms the uniformity of the charging current provided to EV batteries. The results show an impressive power efficiency of 99.25% and a power density of 10.99 kW/L, achieved through the utilization of fast-switching MESFETs and the DAB topology. This research suggests that the hybrid multimodule DC–DC converter is a promising solution for fast-charging EVs, providing high efficiency, power density, and switching speed. Future studies could explore the incorporation of advanced wide bandgap devices to handle even larger power fractions.

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“…Compared with second-order algorithms such as twisting algorithm, sub-optimal algorithm, prescribed convergence law algorithm, quasi-continuous algorithm, and drift algorithm, to weaken the shortcomings of traditional SMO chattering problems as much as possible, A. Levant proposed a super-twisting algorithm theory. References 42 , 43 concluded that the super-twisting algorithm converges in finite time and improves robustness in the case of disturbance and no disturbance. The super-twisting algorithm has the advantage that it does not need to calculate the derivative and extremum of the sliding mode variable.…”

Section: Design Of Fuzzy Super-twisting Sliding Mode Observermentioning

confidence: 99%

Research on speed sensorless control strategy of permanent magnet synchronous motor based on fuzzy super-twisting sliding mode observer

Song,

Liu,

Ren

et al. 2024

Science Progress

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Aiming at the problems of poor adjustment effect, weak anti-disturbance ability, and low robustness of the traditional sliding mode algorithm for permanent magnet synchronous motor speed sensorless, a permanent magnet synchronous motor speed observation method combining super-twisting sliding mode control algorithm and fuzzy control is proposed to accelerate the convergence speed of the system and improve the anti-disturbance ability. Fuzzy rules are used to solve the problem of obtaining the upper bound of the boundary function in the super-twisting algorithm. Moreover, the fuzzy algorithm is used to output the variable sliding mode gain instead of the fixed sliding mode coefficient to improve the system robustness and suppress the jitter. The simulation results show that the overshoot of the control system is 4%, the lag time is not more than 0.003 ms, the speed error is not more than 1%, and the response and adjustment time is not more than 0.02 s. The proposed control strategy improves the tracking accuracy and response speed of the system, suppresses the sliding mode chattering, and enhances the anti-interference ability of the system.

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Adaptive disturbance observer-based improved super-twisting sliding mode control for electromagnetic direct-drive pump

Cited by 37 publications

References 44 publications

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Research on speed sensorless control strategy of permanent magnet synchronous motor based on fuzzy super-twisting sliding mode observer

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