Improved adaptive backstepping sliding mode control for generator steam valves of non‐linear power systems

Su, Qingyu; Quan, Wanzhen; Cai, Guowei; Li, Jian

doi:10.1049/iet-cta.2016.1241

Cited by 38 publications

(58 citation statements)

References 22 publications

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“…(d) Parameter is used for adjusting the adaptive parameter, which is chosen to satisfy > 0 according to our other work. 19 Parameter represents the constant sliding mode gain satisfying > 0. As shown in Figure 2, the state variable x 1 gradually returns at the point 0, namely, gradually tends to 0 , which is the power angle of stable working point.…”

Section: Simulationmentioning

confidence: 99%

“…Recently, the extended adaptive backstepping methods have been an increasingly popular subject in many different ways to influence parameter uncertainty, eg, feedback nonlinearization control [12][13][14] and sliding mode control (see other works [15][16][17][18] ). Both nonlinear adaptive controllers and parameter updating laws for a SMIBS with damping coefficient uncertainties have been studied in our other work 19 and in the work of Jiang et al 20 Another controller based on improved backstepping method of chaotic system with uncertain parameters is investigated in the work of Chen et al 21 For parameter uncertainties of the transmission line, Wan and Zhao 22 designed a nonlinear adaptive controller of power systems. In addition, the pole assignment and feedback linearization nonlinear power systems discussed in the work of Jiang et al 23 is often employed to design the controller for power systems.…”

Section: Introductionmentioning

confidence: 99%

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An improved adaptive backstepping approach on static var compensator controller of nonlinear power systems

Quan

Cai

et al. 2018

Adaptive Control & Signal

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The transient stability problem of a single-machine infinite-bus system with static var compensator is solved in this paper, where the static var compensator controller is designed by an improved backstepping method combining error compensation, adaptive backstepping control, and sliding mode variable structure control. Crucially, the error compensation term, which chooses in the step of virtual control by the adaptive backstepping method, is introduced to ensure that the system states are bounded, maintaining the nonlinearity of the power systems while also improving the speed of parameter identification. Meanwhile, the Lyapunov function is constituted step by step to achieve stability of the subsystem. In addition, a parameter updating law and a nonlinear control law are explicitly given to asymptotically stabilize the closed-loop system. Finally, a simulation is used to illustrate the effectiveness and the practicality of the proposed control approach. KEYWORDSadaptive backstepping, error compensation, single-machine infinite-bus system, sliding mode variable structure control, static var compensator 700

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Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An improved adaptive backstepping approach on static var compensator controller of nonlinear power systems

Quan

Cai

et al. 2018

Adaptive Control & Signal

Self Cite

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“…The technique for using non-linear control systems e.g. sliding mode control, adaptive control, backstepping control is to overcome the deficiencies of the linear control system [7][8][9][10]. When the deficiencies are overcome, the system has good robust performance and dynamic tracking performance.…”

Section: Introductionmentioning

confidence: 99%

Designing of sliding mode observer for the position control for quadrotor UAV

Ding¹

2019

GJECS

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Aiming at the model uncertainty in system and vulnerability to external environment disturbance for the quadrotor UAV in field flight, this article uses the following ideas to solve them. Firstly, use the Newton-Euler method to establish the system model. Then, according to the inner and outer loop control structure, use the attitude command of the output of outer loop position controller as the input of inner loop attitude controller. This paper concentrates to designing of sliding mode observer controller. In addition, the stability of position subsystem proved by Lyapunov theory, the resulted conclusion state that the error converges to zero in finite time. Finally, the simulation of fixed-point control shows that the controller has fast response speed, anti-interference performance, and can track quickly and accurately.

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“…Fuzzy logic systems are utilized to approximate unknown power system functions, and then the stability of the system is guaranteed by the Lyapunov theory. Su et al [15] proposed an adaptive backstepping sliding mode control (ABSMC) scheme for solving the nonlinear system problem with unknown bounded uncertainties. However, the traditional sliding mode control (SMC) cannot provide a finite-time convergence; in addition, this scheme cannot effectively handle rapid variation effects resulting from disturbances and/or faults although it has a good transient response in normal operation.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design

Lin

Bălaş

et al. 2019

Energies

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To investigate a typical large-scale nonlinear hydropower system (HS) with a stochastic water flow, a novel nonlinear adaptive control scheme, which is created by the combination of a backstepping strategy, nonsingular fast terminal sliding mode surface and command filter, is proposed for the hydro-turbine governor design of a HS to not only improve the transient stability of the HS but also increase the energy conversion efficiency and improve the reliability and availability of the electricity supply. In contrast to previous research based on ideal hydro-turbine models with accurate parameters, an adaptive backstepping nonsingular fast terminal sliding mode control (ABNFTSMC) with command filtered (CF) is proposed in which virtual control inputs and error compensations are applied to overcome distribution characteristics resulting from energy losses, while guaranteeing finite-time convergence. In addition, to avoid the requirement of analytic differentiation in Lyapunov stability, a command filter method is used to generate certain compensating signals and their derivatives. In this paper, the Nazi Gorge hydropower station in China is used as our verification model of a hydropower plant with monitored data, where energy losses and random water flow disturbances are considered. Simulation results illustrate that the proposed control strategy for a hydro-turbine governor can significantly increase the stability, reliability, and system performance of a HS even in the presence of uncertainties.

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Improved adaptive backstepping sliding mode control for generator steam valves of non‐linear power systems

Cited by 38 publications

References 22 publications

An improved adaptive backstepping approach on static var compensator controller of nonlinear power systems

An improved adaptive backstepping approach on static var compensator controller of nonlinear power systems

Designing of sliding mode observer for the position control for quadrotor UAV

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design

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