Performance enhancement of multivariable model reference optimal adaptive motor speed controller using error-dependent hyperbolic gain functions-Reference-Cited by-同舟云学术

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Performance enhancement of multivariable model reference optimal adaptive motor speed controller using error-dependent hyperbolic gain functions

Published:2019-11-12 Issue:1 Volume:61 Page:117-131
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Saleem Omer¹^ORCID,Rizwan Mohsin²,Mahmood-ul-Hasan Khalid³,Ahmad Muaaz¹

Affiliation:

1. Department of Electrical Engineering, National University of Computer and Emerging Sciences, Lahore, Pakistan

2. Department of Mechatronics and Control Engineering, University of Engineering & Technology, Lahore, Pakistan

3. Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2019.1688508

Reference33 articles.

1. Analysis, control and design of speed control of electric vehicles delayed model: multi‐objective fuzzy fractional‐order controller

2. Design and implementation methodology for rapid control prototyping of closed loop speed control for BLDC motor

3. EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor

4. A PI controller optimized with modified differential evolution algorithm for speed control of BLDC motor

5. Robust fractional order proportion-plus-differential controller based on fuzzy inference for permanent magnet synchronous motor

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2. Stabilization control of rotary inverted pendulum using a novel EKF-based fuzzy adaptive sliding-mode controller: design and experimental validation;Automatika;2024-02-07

3. Develop Emperor Penguin Optimizer for Speed Regulation of BLDC Motor Using PV-Based Z-Source Inverter;Electric Power Components and Systems;2023-08-18

4. Robustification of the state-space MRAC law for under-actuated systems via fuzzy-immunological computations;Science Progress;2022-07

5. Improvement of the amplification gain for a propulsion drives of an electric vehicle with sensor voltage and mechanical speed control;SMART STRUCT SYST;2022

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