A novel dynamic integral sliding mode control for power electronic converters

Riaz, Mudassar; Yasin, Abdul Rehman; Uppal, Ali Arshad; Yasin, Amina

doi:10.1177/00368504211044848

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…The moment of inertia is an inherent characteristic of the rotor of a synchronous generator. A uniform rotor moment of inertia can be represented by (15), there is…”

Section: Principle Of Vsg Controlmentioning

confidence: 99%

“…This paper proposes a control algorithm based on artificial neural network after analyzing the existing nonlinear control algorithms. At present, several mainstream nonlinear control methods include model predictive control [13], bang-bang control [14], and synovial control [15,16]. Among them, model predictive control [17] requires high-level models and a large number of model coefficients to accurately characterize the system, otherwise the prediction results will be incorrect, and the virtual synchronous machine does not meet these two conditions [18].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive inertia and damping of grid‐connected inverter with improved VSG control

Ling,

Liu,

Wang

et al. 2023

IET Power Electronics

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The control technology of virtual synchronization generator (VSG) based on energy storage system is proposed to compensate for the inertia and damping loss caused by the grid connection of distributed generators. However, with the addition of virtual inertia and damping, VSG is prone to generate frequency and power oscillation, and the regulating ability is weakened. For the above problems, this paper analyzes the inertia and damping characteristics of the synchronous motor in the rotation of synchronous motors, and applies artificial neural network control to VSG. In intelligent control strategy, a multi‐input‐output radial basis function (RBF) neural network is first proposed to adaptively adjust virtual inertia and damping. Finally, an experimental platform with a rated power of 1 kW and a variable load of 1 kW was built to validate the proposed control strategy. The experimental results show that the artificial neural network control strategy has a better regulation ability.

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“…The moment of inertia is an inherent characteristic of the rotor of a synchronous generator. A uniform rotor moment of inertia can be represented by (15), there is…”

Section: Principle Of Vsg Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive inertia and damping of grid‐connected inverter with improved VSG control

Ling,

Liu,

Wang

et al. 2023

IET Power Electronics

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“…In contrast to its conventional predecessor [13], the ISM control incorporates an integral term in its sliding surface, which enables the integral sliding mode control (ISMC) to avoid the reaching phase. Thus resulting in a quicker convergence time [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Power transfer control within the framework of vehicle-to-house technology

Sassi

Mazzi

Errahimi

et al. 2023

IJECE

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<span lang="EN-US">The emerging vehicle-to-grid (V2G) technology has gained a lot of praise in the last few years, following its experimental validation in several countries. As a result, this technology is being investigated for standalone houses under the name of vehicle-to-house (V2H). This latter proposes a two-way power transfer between the electric vehicles and isolated houses relying on renewable sources for power supply. In this paper an implementation of the V2H technology is investigated, using the adaptive backstepping control approach for the bidirectional half-bridge and the integral sliding mode control for the DC-DC converter. The robustness of the controller and its capability to respond to the desired performances were tested using different realistic scenarios. The obtained results yielded, a perfect sinusoidal output voltage with a voltage level of 220 V and a frequency of 50 Hz. This is further been validated by a frequency analysis resulting in a THD of 0.25%.</span>

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“…MAO et al 13 proposed a new adaptive fault-tolerant sliding mode control scheme considering disturbance and actuator failure. Although sliding mode control [14][15][16][17][18] has a good tracking effect, it can easily produce a chattering phenomenon. Although some correction methods, such as the saturation function method, can effectively reduce the chattering phenomenon, they will sacrifice the advantage of outstanding anti-disturbance performance.…”

Section: Introductionmentioning

confidence: 99%

Improved active disturbance rejection speed control for autonomous driving of high-speed train based on feedforward compensation

Yue,

Wang,

Xiao

et al. 2023

Science Progress

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Due to the complex and changeable train operation environment and the unstable and time-varying parameters, accurate modeling is limited. Therefore, a modified active disturbance rejection control algorithm based on feedforward compensation (FC-MADRC) is proposed targeting the speed control problem of trains under the circumstances of external disturbances, which reduces the dependence on the train model. Firstly, the state space equation is established based on the single-particle mathematical model of the train, and all the running resistances are regarded as disturbances. Secondly, the FC-MADRC algorithm is designed. Based on the terminal attractor function and the novel Sigmoid function, an improved tracking differentiator (ITD) is designed. An improved fal (nsfal) function with better smoothness is constructed by using the properties of the Dirac δ function, and an ameliorative nonlinear state error feedback (ANLSEF) and a modified extended state observer (IESO) are designed based on the nsfal function. Furthermore, based on the thought of PID, the integral term of error is introduced into ANLSEF for the nonlinear operation to reduce the steady-state error of train speed tracking. In order to promote the robustness and control accuracy of the system, the feedforward compensation term and disturbance compensation term are combined to perform dynamic compensation for disturbances in real time. Finally, the simulation is carried out with CRH380A train data. The results indicate that compared with conventional ADRC and 2DOF-PID, FC-MADRC has the more vital anti-disturbance ability and higher tracking accuracy. FC-MADRC has the advantages of solid anti-disturbance, fast response, and high tracking accuracy. Under the premise of external disturbance, it can still achieve accurate speed tracking under different road conditions.

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A novel dynamic integral sliding mode control for power electronic converters

Cited by 6 publications

References 35 publications

Adaptive inertia and damping of grid‐connected inverter with improved VSG control

Adaptive inertia and damping of grid‐connected inverter with improved VSG control

Power transfer control within the framework of vehicle-to-house technology

Improved active disturbance rejection speed control for autonomous driving of high-speed train based on feedforward compensation

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