Development and analysis of adaptive PID controller using LMS algorithm for Distribution Generation-Inverter

Karchi, Nalini; Kulkarni, D. B.

doi:10.1109/icecct52121.2021.9616702

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…LMS algorithm has an iterative procedure for updating the weight vector which leads to determining the minimum mean square error. It is widely used in various applications of adaptive filtering, detection, and estimation (Bai and Zhang, 2018;Spelta and Martins, 2020;Karchi and Kulkarni, 2021). LMS algorithm was given in equations 8, 9, and 10: Black Sea Journal of Engineering and Science…”

Section: Least Mean Square Algorithmmentioning

confidence: 99%

A Hybrid Algorithm for Adaptive Neuro-controllers

Demirtaş

2023

Black Sea Journal of Engineering and Science

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In this study, a novel hybrid algorithm consisting of the least mean square and backpropagation neural network is proposed to auto-adjust adaptive proportional integral derivative (PID) controller gains for improving the transient response of linear systems. The hybrid approach comprises the scheme of the two algorithms running in parallel and updates PID gains simultaneously. All algorithms are implemented on the same linear system and present a general framework for different scenarios such as initial PID gains, learning rates, and target functions. The results show that the presented hybrid algorithm has better accuracy, precision, F1-score, adaptability, and robustness than origin algorithms, and significantly improves the controllability in most of the system scenarios. It also exhibits better performance in periodic incremental and decremental targets compared to origin algorithms. Different hybridization levels are also simulated and are highlighted as significant features of their performance. This work can be expanded to the combination of the other well-known algorithms, paving the way to significant improvements in control system applications.

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Section: Least Mean Square Algorithmmentioning

confidence: 99%

A Hybrid Algorithm for Adaptive Neuro-controllers

Demirtaş

2023

Black Sea Journal of Engineering and Science

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Development and analysis of adaptive PID controller using LMS algorithm for Distribution Generation-Inverter

Cited by 1 publication

References 3 publications

A Hybrid Algorithm for Adaptive Neuro-controllers

A Hybrid Algorithm for Adaptive Neuro-controllers

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