Static-Errorless Deadbeat Predictive Current Control Using Second-Order Sliding-Mode Disturbance Observer for Induction Machine Drives

Wang, Bo; Dong, Zhen; Yu, Yong; Wang, Gaolin; Xu, Dianguo

doi:10.1109/tpel.2017.2694019

Cited by 113 publications

(26 citation statements)

References 25 publications

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“…The sliding mode algorithm is a complex control strategy which improves the ability of robustness to variable motor parameters and load disturbance attenuation. It has an attractive application prospect for the design of controllers and observers of motor drive system, realizing accurate estimation of load disturbance as well as obtaining satisfactory control performance [19,20]. In Reference [19], the second-order sliding mode disturbance observer is used to observe the disturbances, including motor parameters change and unmodeled dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…It has an attractive application prospect for the design of controllers and observers of motor drive system, realizing accurate estimation of load disturbance as well as obtaining satisfactory control performance [19,20]. In Reference [19], the second-order sliding mode disturbance observer is used to observe the disturbances, including motor parameters change and unmodeled dynamics. The output of the designed sliding mode disturbance observer is utilized as feedforward compensation to correct the current error caused by traditional deadbeat predictive current controller.…”

Section: Introductionmentioning

confidence: 99%

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Induction Motor Adaptive Backstepping Control and Efficiency Optimization Based on Load Observer

Chen

Gong

et al. 2020

Energies

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In this paper, an adaptive load torque observer based on backstepping control is designed, which achieves accurate load estimation where the load is unknown. Based on this, in order to reduce the loss of the motor at low load, a smooth switching strategy of rotor flux based on speed error is designed. According to the real-time speed error of the induction motor, the smooth switching strategy achieves dynamic flux switching. Firstly, when the uncertain load occurs for the first time in the recursive design, the adaptive law of the load is designed, and a novel adaptive load torque observer is obtained, which accurately estimates the uncertain load torque in real time. Secondly, the relationship between the loss and the rotor flux is established by analyzing the loss model of induction motor, and the optimal rotor flux is obtained. The smooth switching control strategy based on speed error is designed to realize the efficiency optimization of induction motor. Finally, the control strategy proposed in this paper is experimentally verified on the LINKS-RT platform. The results show that the proposed control strategy has excellent load disturbance attenuation performance and reduces the energy loss.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Induction Motor Adaptive Backstepping Control and Efficiency Optimization Based on Load Observer

Chen

Gong

et al. 2020

Energies

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“…The disturbance observer (DOB), an effective approach to compensate the effects of model uncertainties and external disturbances, is widely applied in electric power systems [22][23][24][25]. The main characteristic of DOB is that the robustness is achieved without sacrificing any of the original control performance [26].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, this method does not need to establish an accurate mathematical model for the disturbance signals, and its structure is relatively simple, thus, the complicated calculations are avoided in the prediction of disturbance signals, which is beneficial to meet the requirements of real time applicability. In view of this, the combination of MPC with DOB has been extensively studied to improve the anti-disturbance capabilities of various systems, e.g., induction machine drives [24], permanent magnet synchronous motors [27], neutral-point-clamped multilevel converters [28], and three-phase inverters [6,7,29]. However, there are still many gaps in the MMC applications in battery energy storage systems.…”

Section: Introductionmentioning

confidence: 99%

Disturbance-Observer-Based Model Predictive Control for Battery Energy Storage System Modular Multilevel Converters

et al. 2018

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Although the traditional model predictive control (MPC) can theoretically provide AC current and circulating current control for modular multilevel converters (MMCs) in battery energy storage grid-connected systems, it suffers from stability problems due to the power quality of the power grid and model parameter mismatches. A two discrete-time disturbance observers (DOBs)-based MPC strategy is investigated in this paper to solve this problem. The first DOB is used to improve the AC current quality and the second enhances the stability of the circulating current control. The distortion and fluctuation of grid voltage and inductance parameter variation are considered as lump disturbances in the discrete modeling of a MMC. Based on the proposed method, the output prediction is compensated by disturbance estimation to correct the AC current and circulating current errors, which eventually achieve the expected tracking performance. Moreover, the DOBs have a quite low computational cost with minimum order and optimal performance properties. Since the designed DOBs work in parallel with the MPC, the control effect is improved greatly under harmonics, 3-phase unbalance, voltage sag, inductance parameter mismatches and power reversal conditions. Simulation results confirm the validity of the proposed scheme.

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“…In [22], a sliding mode disturbance observer with switching-gain adaptation was proposed. In [23,24], the second-order sliding mode disturbance observer, which can produce continuous estimation signals and possess strong robustness, had been proposed and applied to industrial systems.…”

Section: Introductionmentioning

confidence: 99%

Second-Order Sliding Mode Disturbance Observer-Based Adaptive Fuzzy Tracking Control for Near-Space Vehicles with Prescribed Tracking Performance

Chen

Guo

2018

Mathematical Problems in Engineering

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An adaptive fuzzy fault-tolerant tracking controller is developed for Near-Space Vehicles (NSVs) suffering from quickly varying uncertainties and actuator faults. For the purpose of estimating and compensating the mismatched external disturbances and modeling errors, a second-order sliding mode disturbance observer (SOSMDO) is constructed. By introducing the norm estimation approach, the negative effects of the quickly varying multiple matched disturbances can be handled. Meanwhile, a hierarchical fuzzy system (HFS) is employed to approximate and compensate the unknown nonlinearities. Several performance functions are introduced and the original system is transformed into one incorporating the desired performance criteria. Then, an adaptive fuzzy tracking control structure is established for the transformed system, and the predefined transient tracking performance can be guaranteed. The rigorous stability of the closed-loop system is proved by using the Lyapunov method. Finally, simulation results are presented to illustrate the effectiveness of the proposed control scheme.

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Static-Errorless Deadbeat Predictive Current Control Using Second-Order Sliding-Mode Disturbance Observer for Induction Machine Drives

Cited by 113 publications

References 25 publications

Induction Motor Adaptive Backstepping Control and Efficiency Optimization Based on Load Observer

Induction Motor Adaptive Backstepping Control and Efficiency Optimization Based on Load Observer

Disturbance-Observer-Based Model Predictive Control for Battery Energy Storage System Modular Multilevel Converters

Second-Order Sliding Mode Disturbance Observer-Based Adaptive Fuzzy Tracking Control for Near-Space Vehicles with Prescribed Tracking Performance

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