Performance optimization of LQR‐based PID controller for DC‐DC buck converter via iterative‐learning‐tuning of state‐weighting matrix
Author:
Affiliation:
1. Department of Electrical EngineeringNational University of Computer and Emerging Sciences Lahore Pakistan
2. Department of Mechatronics and Control EngineeringUniversity of Engineering and Technology Lahore Pakistan
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnm.2572
Reference46 articles.
1. Finite-Time Output Feedback Control for PWM-Based DC–DC Buck Power Converters of Current Sensorless Mode
2. Robust Control for PWM-Based DC–DC Buck Power Converters With Uncertainty Via Sampled-Data Output Feedback
3. An assessment on performance of DC–DC converters for renewable energy applications
4. Performance Comparison of Various Controllers for DC-DC Synchronous Buck Converter
5. Comparison of Hybrid Control Techniques for Buck and Boost DC-DC Converters
Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. LQR-based PID Control of DC Motor Speed;2024 9th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE);2024-06-27
2. Fuzzy-Augmented Model Reference Adaptive PID Control Law Design for Robust Voltage Regulation in DC–DC Buck Converters;Mathematics;2024-06-18
3. Phase-Based Adaptive Fractional LQR for Inverted-Pendulum-Type Robots: Formulation and Verification;IEEE Access;2024
4. An industrial design of 400 V – 48 V, 98.2% peak efficient charger using E‐mode GaN technology with wide operating ranges for xEV applications;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2023-12-12
5. Cascaded Sliding Mode Voltage Controller and Model Reference Adaptive Current Controller for Regulating a MIMO DC-DC Boost Converter;2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET);2023-12-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3