Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

Deng, Guiyang; Cheng, Lianglun; Yang, Baojian

doi:10.1155/2019/7604320

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…where e 1 is the observer error, and α is a constant in the interval (0, 1). Furthermore, τ is the length of the interval of the linear segment [32,37,39]. To ensure the stability of the observer described by Equation ( 33), the following assumptions must be satisfied:…”

Section: Eso Observermentioning

confidence: 99%

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Extended State Observer Based-Backstepping Control for Virtual Synchronous Generator

et al. 2022

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The penetration of distributed generators (DGs)-based power electronic devices leads to low inertia and damping properties of the modern power grid. As a result, the system becomes more susceptible to disruption and instability, particularly when the power demand changes during critical loads or the system needs to switch from standalone to a grid-connected operation mode or vice versa. Developing a robust controller to deal with these transient cases is a real challenge. The inverter control method via the virtual synchronous generator (VSG) control method is a better way to supply the system’s inertia and damping features to boost system stability. Therefore, a nonlinear control strategy for VSG with uncertain disturbance is proposed in this paper to enhance the system stability in the islanded, grid-connected, and transition modes. Firstly, the mechanical equations for a VSG’s rotor, which include virtual inertia and damping coefficient, are presented, and the matching mathematical model is produced. Then, the nonlinear backstepping controller (BSC) method combined with the extended state observer (ESO) is constructed to compensate for the uncertainty. The Lyapunov criteria were used to prove the method’s stability. Considering the issue of uncertain items, a second-order ESO is built to estimate uncertainty and external disruption. Finally, the suggested control strategy is validated through three simulation experiments; the findings reveal that the proposed control method has an excellent performance with fast response and tracking under various operating situations.

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Section: Eso Observermentioning

confidence: 99%

“…Nevertheless, ESO was presented for tracking order states and dynamic errors in nonlinear systems with unknown disturbances [32][33][34][35][36][37]. An active power controller for smooth power tracking for a grid-connected VSG was established based on linear active disturbance rejection control to deal with power oscillations in [34].…”

Section: Introductionmentioning

confidence: 99%

Extended State Observer Based-Backstepping Control for Virtual Synchronous Generator

et al. 2022

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“…So far, most use observer or observer in combination with other techniques (e.g., backstepping technology, sliding mode technology) for interference compensation control. For example: Deng 2 designed a dynamic compensation control to compensate the uncertainty disturbance in each state quantity with combining backstepping technology and extended state observer; Zhang 3 studied the disturbance observer based model predictive control approach to deal with the unmanned aerial vehicle formation flight with unknown disturbances; Mei 4 proposed a new active disturbance rejection control strategy based on the cascade extended state observer for airborne radar stabilization platform. Shi 5 presented an nonlinear cascade control based the reduced order extended state observer for the high‐response proportional solenoid valve.…”

Section: Introductionmentioning

confidence: 99%

Interference compensation discrete control based on memory data for a class of nonlinear systems

Wang

2022

Optim Control Appl Methods

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In this article, in order to solve the interference compensation control problem of a class of nonlinear systems, we propose a method based on memory data to suppress interference greatly. Firstly, the continuous time model of nonlinear system is discretized to obtain the discrete model of the system, then, which is simplified by zero‐order hold. On this basis, the interference at the previous moment is calculated by using the system states measured and stored at the previous moment, which is added to the systems input to compensate for the interference at the current moment. Finally, the simulation results show that our method has a good inhibitory effect on interference, and the attenuation rate of interference is more than 98%.

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Active Disturbance Rejection Control Algorithm Based on Memory Data and Online Computation

Wang,

Li,

et al. 2023

2023 China Automation Congress (CAC)

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Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

Cited by 3 publications

References 19 publications

Extended State Observer Based-Backstepping Control for Virtual Synchronous Generator

Extended State Observer Based-Backstepping Control for Virtual Synchronous Generator

Interference compensation discrete control based on memory data for a class of nonlinear systems

Active Disturbance Rejection Control Algorithm Based on Memory Data and Online Computation

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