A Model-free Output Feedback Adaptive Optimal Fuzzy Controller for LC-filtered Three-phase Voltage Source Inverters

This paper proposes a model-free output feedback control-based adaptive fuzzy controller using a current-sensorless configuration for LC-filtered three-phase voltage source inverters (VSIs). The proposed adaptive fuzzy scheme is constructed of three parts: an adapter, an adaptive optimal fuzzy contr...

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Bibliographic Details
Published in:International journal of control, automation, and systems automation, and systems, 2023-06, Vol.21 (6), p.2067-2079
Main Authors: Trinh, Nam Hai, Vu, Nga Thi-Thuy, Xuan, Loc Ong, Nguyen, Anh Tuan
Format: Article
Language:English
Subjects:
Adapters
Adaptive control
Adaptive systems
Algorithms
Artificial neural networks
Configurations
Control
Controllers
Electric potential
Engineering
Feedback control
Fuzzy control
Fuzzy logic
Harmonic distortion
Inverters
Mathematical models
Mechatronics
Output feedback
Parameter identification
Parameter uncertainty
Regular Papers
Robotics
Transient response
Voltage
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Summary:This paper proposes a model-free output feedback control-based adaptive fuzzy controller using a current-sensorless configuration for LC-filtered three-phase voltage source inverters (VSIs). The proposed adaptive fuzzy scheme is constructed of three parts: an adapter, an adaptive optimal fuzzy controller, and an adaptive optimal fuzzy identifier. The adapter is designed based on an adaptive neuro-fuzzy inference system (ANFIS) network which uses the error between the system output and identifier output as an input to generate the online updated parameters. Next, both the adaptive fuzzy controller and the fuzzy identifier are designed based on the Takagi-Sugeno (T-S) fuzzy model. In particular, the proposed algorithm is robust against external disturbance and parameter uncertainties due to not requiring the system parameters. Moreover, the proposed scheme uses a current-sensorless configuration, which reduces the system complexity and cost. Both the stability of the proposed method and the convergence of adapted parameters are completely assured by using the Lyapunov stability theory. Finally, the effectiveness of the proposed adaptive fuzzy controller is verified through simulation in comparison with a conventional T-S fuzzy controller. The results show that the proposed model-free output feedback control-based adaptive fuzzy controller yields better control performance, such as faster transient response, smaller steady-state error, and lower total harmonic distortion (THD) under the change of load (step changes of linear load, unbalanced load, and nonlinear load), parameter variations, and input disturbances.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-021-0806-5