TY - GEN
T1 - Robust Full Linear State-Feedback Controller for Grid-Tied LCL Filter Systems Using Adaptive High-Gain Observer
AU - Errouissi, Rachid
AU - Viswambharan, Amulya
AU - Shareef, Hussain
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents the design and real-time implementation of a composite controller consisting of a state-feedback control law and high-gain observer for LCL filter system in grid-tied applications. The main function of the feedback control law, designed in the dq rotating reference frame, is to add a damping effect to the closed-loop system with a view to cancel the effect of the resonance frequency inherent in LCL filter system. High-gain observer is added to the feedback controller to achieve asymptotic regulation and disturbance rejection in the presence of model uncertainties and unknown disturbances. Specifically, high-gain observer is considered as a disturbance observer to compensate for the effect of parametric uncertainties and unknown inputs. High-gain observer has a rate of convergence that is dependent on its gain, which is required to be large enough to ensure fast disturbance estimation. However, high observer gain can lead to poor steady-state performances due to the effect of measurement noise. This concern is overcome in this work by using an existing adaptive technique to adjust the observer gain on-line. Moreover, the resulting high-gain observer is further simplified to provide a less-complex estimator and to show its integral action property. The performance of the composite controller was experimentally tested. The obtained results demonstrated the ability of the proposed controller to meet the control objectives with a reduced effect of measurement noise.
AB - This paper presents the design and real-time implementation of a composite controller consisting of a state-feedback control law and high-gain observer for LCL filter system in grid-tied applications. The main function of the feedback control law, designed in the dq rotating reference frame, is to add a damping effect to the closed-loop system with a view to cancel the effect of the resonance frequency inherent in LCL filter system. High-gain observer is added to the feedback controller to achieve asymptotic regulation and disturbance rejection in the presence of model uncertainties and unknown disturbances. Specifically, high-gain observer is considered as a disturbance observer to compensate for the effect of parametric uncertainties and unknown inputs. High-gain observer has a rate of convergence that is dependent on its gain, which is required to be large enough to ensure fast disturbance estimation. However, high observer gain can lead to poor steady-state performances due to the effect of measurement noise. This concern is overcome in this work by using an existing adaptive technique to adjust the observer gain on-line. Moreover, the resulting high-gain observer is further simplified to provide a less-complex estimator and to show its integral action property. The performance of the composite controller was experimentally tested. The obtained results demonstrated the ability of the proposed controller to meet the control objectives with a reduced effect of measurement noise.
KW - Disturbance observer
KW - grid-tied LCL filter
KW - high-gain observer
KW - renewable energy
KW - state-feedback control
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U2 - 10.1109/IAS54023.2022.9939803
DO - 10.1109/IAS54023.2022.9939803
M3 - Conference contribution
AN - SCOPUS:85142839890
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
BT - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Y2 - 9 October 2022 through 14 October 2022
ER -