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Identification of Moment of Inertia for PMSM Using Improved Model-reference Adaptive System
Jinhua She,Lulu Wu,Chuan-Ke Zhang,Zhen-Tao Liu,Yonghua Xiong 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
The moment of inertia (MOI) is one of the most important parameters of a permanent magnet synchronous motor. High-precision identification of the MOI is essential to ensure system performance. This paper explains an MOI identification method based on the frame of an improved model-reference adaptive system (IMRAS). It improved a model-reference adaptive system by incorporating a curvature model and a dynamic gain in the system. First, a curvature model is used to estimate a load torque to construct an accurate reference model. This strategy reduces the identification error caused by ignoring the load torque. Note that identification accuracy and convergence speed are closely related to a gain factor in the system. Then, the relationship between the gain factor and the convergence time of the identification error is modeled as a power function. Finally, the IMRAS uses the absolute value of the relative MOI error and the convergence time for a given gain factor as switching conditions to balance the convergence speed and identification accuracy. A comparison with a conventional fixed-gain MRAS shows the effectiveness and superiority of the developed method.
Lan Zhou,Fuxi Jiang,Jinhua She,Zhu Zhang 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.8
This paper presents a generalized-extended-state-observer (GESO)-based repetitive control (RC) method for a direct-current motor servo system (DCMSS) subject to parameter perturbation and load torque variation, which are mismatched. A GESO is constructed to estimate the lumped disturbance in real time fashion. Incorporating the estimate into a state-feedback RC law yields a composite controller with a dynamical compensation gain, which ensures that the suppression of the mismatched total disturbance and the tracking of periodic signal are achieved simultaneously. The stability criterion and design procedure of the system are developed. Finally, simulation results show that the GESO-RC based DCMSS effectively eliminates the influences on the output of the parameter variation and the load disturbance and has both satisfactory dynamical performance and robustness. Comparisons with conventional PID control, PID-RC, and standard extended-state-observer based RC demonstrate the superiority of this method.
An EID-based Fault Diagnosis Method for the Distribution Feeder with PV Generation Embedded
Hu, Bo,Yokoyama, Ryuichi,She, Jinhua,Zhou, Yicheng The Korean Institute of Electrical Engineers 2013 The Journal of International Council on Electrical Vol.3 No.3
This paper describes a new fault diagnosis method based on an equivalent-input-disturbance (EID) approach for distribution feeder with photovoltaics (PV) generation embedded. In this method, the faults are regarded as disturbances of system, which can be estimated by EID approach. Through analyzing the characteristics of the EID, the faults position can be located and the fault types can be identified. Firstly, a dynamic model of distribution feeder for fault diagnosis is built. Next, an EID estimator is designed. Finally, the simulation results demonstrate the effectiveness of the method.
Generalized-extended-state-observer-based Sliding-mode Control for Buck Converter Systems
Lan Zhou,Xiaojun Yi,Zhuang Jiang,Zhu Zhang,Jinhua She 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12
This paper presents a generalized-extended-state-observer (GESO)-based sliding-mode control (SMC) method to deal with mismatched parameter uncertainty and reference-input mutation for a class of DC-DC buck converter systems (BCS). First, a GESO is designed to estimate the total disturbance together with the system state. Then, by choosing an appropriate disturbance-compensation gain, a composite SMC law is designed to attenuate the influence of the parameter uncertainty and reference input mutation on the system output. Both the stability criterion and deign procedure of the system are given. Finally, simulation results show that the designed GESO-based SMC system for the DC-DC BCS is robustly stable and achieves both satisfactory transient and steady-state performance. Comparisons demonstrate that the proposed method provides better transient and steady-state performance for both disturbance rejection and tracking control than either conventional SMC or ESO-based control approach does.