Robust sliding‐mode observers for large‐scale systems with application to a multimachine power system

Mohamed, Mokhtar; Yan, Xing‐Gang; Spurgeon, Sarah K.; Jiang, Bin

doi:10.1049/iet-cta.2016.1204

Cited by 21 publications

(15 citation statements)

References 35 publications

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“…Therefore, replacing sensors by the observer is a pressing issue and plays a substantial role in the control field. Regarding observer synthesis for large-scale systems, many papers have been published in the past few years [21][22][23][24][25][26][27][28][29] focusing on solving this issue. For example, the decentralized ∞ filters were synthesized for the nonlinear large-scale system and the nonlinear large-scale system with unknown interconnection terms in [21,22], respectively.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Polynomial Observer Design for Discrete‐Time Large‐Scale Polynomial T‐S Fuzzy System

Han

Tran

2019

Mathematical Problems in Engineering

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In this paper, a new approach for synthesizing a decentralized observer is proposed to estimate the unmeasurable states of a discrete-time large-scale nonlinear system. The large-scale nonlinear system in this study is modeled in terms of a set of discrete-time polynomial Takagi-Sugeno (T-S) fuzzy subsystems and interconnection terms. This modeling method will assist to reduce significantly the number of fuzzy rules. The interconnection terms are considered as the unknown inputs; then, the unknown input method is employed to design observer for this system. It should be emphasized that the interconnection parts in this paper are arbitrary and their effects are eliminated completely. On the basis of the Lyapunov methodology and SOS (Sum of Square) technique, the conditions for observer design expressed under the framework of SOS are derived in the main theorems. Finally, an illustrative example is presented to show the effectiveness and merit of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Decentralized Polynomial Observer Design for Discrete‐Time Large‐Scale Polynomial T‐S Fuzzy System

Han

Tran

2019

Mathematical Problems in Engineering

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“…[3][4][5][6]). Subsequently, many approaches have been developed to design observers for different systems to estimate system states (see e.g.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Observer for Nonlinear Interconnected Systems with Time Varying Parameters

Mohamed

Yan

Mao

2018

Asian Journal of Control

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In this paper, a class of nonlinear interconnected systems with uncertain time varying parameters (TVPs) is considered. Both the interconnections and the isolated subsystems are nonlinear. Sliding mode control method and adaptive techniques are employed together to design an observer to estimate the state variables of the systems in presence of unknown TVPs. The Lyapunov direct method is used to analysis the stability of the sliding motion and it is not required to solve the so-called constrained Lyapunov problem (CLP). A set of conditions is developed under which the augmented systems formed by the error dynamical systems and the designed adaptive laws, are globally uniformly ultimately bounded. A simulation example is presented and the results show that the method proposed in this paper is effective.

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“…In the field of multimotor control, sliding-mode variable structure control method is a very effective control algorithm. In [16,17], the basic principle of the SM method is introduced in detail, and some of the unique problems in the motor control and multimotor control are introduced. In [18], to filter out the measurement noises of velocities and estimate the load torque of motors, an augmented observer is proposed.…”

Section: Introductionmentioning

confidence: 99%

No-Tension Sensor Closed-Loop Control Method with Adaptive PI Parameters for Two-Motor Winding System

Wang

Nan

Shi

et al. 2018

Mathematical Problems in Engineering

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In a winding system, it is very important to control the tension precisely. Based on the process of rewinding and unwinding, a sensorless tension control method with PI parameters of adaptive speed controllers is proposed in this paper. According to the principle of torque balance, a tension observer is designed to replace the tension sensor, and the observed value instead of the measured value of tension is used as feedback. Then the measurement delay caused by tension sensor is reduced. For the time-variable inertia, Landau discrete-time recursive algorithm is used to estimate the inertias of the rewind and unwind motors. Moreover, the estimated inertias are used to adjust the PI parameters of the speed controllers. As the tension control system has the ability to adapt to the change of inertia, its dynamic performance is improved to some extent. In addition, the proposed sensorless tension control method is simple and easy to implement, which only uses the current and speed signals of the motors without any additional hardware needed. At last, the feasibility and effectiveness of the proposed method are verified by the experimental results.

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Robust sliding‐mode observers for large‐scale systems with application to a multimachine power system

Cited by 21 publications

References 35 publications

Decentralized Polynomial Observer Design for Discrete‐Time Large‐Scale Polynomial T‐S Fuzzy System

Decentralized Polynomial Observer Design for Discrete‐Time Large‐Scale Polynomial T‐S Fuzzy System

Adaptive Sliding Mode Observer for Nonlinear Interconnected Systems with Time Varying Parameters

No-Tension Sensor Closed-Loop Control Method with Adaptive PI Parameters for Two-Motor Winding System

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