{"title":"A Novel Order Abatement Technique for Linear Dynamic Systems and Design of PID Controller","authors":"Sunil Kumar Gautam, Savita Nema, R.K. Nema","doi":"10.1080/02564602.2023.2268582","DOIUrl":null,"url":null,"abstract":"AbstractThis article proposes a novel hybrid technique of order abatement for large-scale models that combines the Mihailov stability method (MSM) and the stability equation method (SEM). In this approach, the denominator coefficients of the higher-order system (HOS) are estimated using the MSM, while the numerator coefficients are computed using the SEM. The suggested approach is based on the MSM, which guarantees the stability of the estimated model if the actual model is stable. The MSM also makes sure that important factors of the original plant, such as dominant poles and stability, are retained in the reduced order system (ROS). The suggested approach is compared to several current conventional reduction methods using error indicators, and the smallest performance error indices values reflect the supremacy of the method. The transfer function (TF) of the ROS is then used to design controllers by employing the moment matching technique. When the controller designed with the approximated model is applied to the real HOS, it indicates that the response of the closed-loop system of the real model entirely overlaps with the response of the reference plant. To further demonstrate the efficiency of the proposed schemes, time-domain specifications are produced and time responses are plotted.KEYWORDS: Controller designHigher order modelMihailov stability methodModel order reductionReduced order modelStability equation method Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data supporting the findings of this study are available within the article.Additional informationNotes on contributorsSunil Kumar GautamSunil Kumar Gautam received the Btech degree in electrical engineering from Uttar Pradesh Technical University, Uttar Pradesh, India, in 2013, and the Mtech degree in control and instrumentation from Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India, in 2019. He is currently pursuing a PhD in control systems from the Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India. His current research interests include mathematical modelling of electrical systems, model order reduction, and controller design. Corresponding author. Email: sunilgautam827@gmail.comSavita NemaSavita Nema was born in Jabalpur, Madhya Pradesh, India. She is currently a professor in the Department of Electrical Engineering at the Maulana Azad National Institute of Technology (MANIT), Bhopal, India. She received her B.E. degree in electrical engineering and her M.E. degree in control systems from Jabalpur Engineering College, Madhya Pradesh, India, in 1990 and 1993, respectively. She received her PhD degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) Bhopal, India, in 2011. She has 30 years’ experience in teaching and research. She has published more than 100 research papers in national and international journals and conferences, and she has co-authored four books. Her current research interests include renewable energy, photovoltaics, control systems, electric drives, and electric vehicles. Email: s_nema@yahoo.comR.K. NemaRajesh Kumar Nema was born in Jabalpur, Madhya Pradesh, India, in 1963. He received his Btech and Mtech degrees in electrical engineering from Bhopal University in 1986 and 1992, respectively. He obtained a PhD degree in electrical engineering from Barkatullah University, Bhopal, in 2004. He has been working as a professor in the Electrical Engineering Department at MANIT Bhopal. He is the author of more than 150 articles. His current research interests include multilevel inverters, solar PV controllers, hybrid energy systems, control systems, and power electronics converters for renewable energy applications. Email: rk_nema@yahoo.com","PeriodicalId":13252,"journal":{"name":"IETE Technical Review","volume":"33 1","pages":"0"},"PeriodicalIF":2.5000,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IETE Technical Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02564602.2023.2268582","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractThis article proposes a novel hybrid technique of order abatement for large-scale models that combines the Mihailov stability method (MSM) and the stability equation method (SEM). In this approach, the denominator coefficients of the higher-order system (HOS) are estimated using the MSM, while the numerator coefficients are computed using the SEM. The suggested approach is based on the MSM, which guarantees the stability of the estimated model if the actual model is stable. The MSM also makes sure that important factors of the original plant, such as dominant poles and stability, are retained in the reduced order system (ROS). The suggested approach is compared to several current conventional reduction methods using error indicators, and the smallest performance error indices values reflect the supremacy of the method. The transfer function (TF) of the ROS is then used to design controllers by employing the moment matching technique. When the controller designed with the approximated model is applied to the real HOS, it indicates that the response of the closed-loop system of the real model entirely overlaps with the response of the reference plant. To further demonstrate the efficiency of the proposed schemes, time-domain specifications are produced and time responses are plotted.KEYWORDS: Controller designHigher order modelMihailov stability methodModel order reductionReduced order modelStability equation method Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe authors confirm that the data supporting the findings of this study are available within the article.Additional informationNotes on contributorsSunil Kumar GautamSunil Kumar Gautam received the Btech degree in electrical engineering from Uttar Pradesh Technical University, Uttar Pradesh, India, in 2013, and the Mtech degree in control and instrumentation from Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India, in 2019. He is currently pursuing a PhD in control systems from the Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India. His current research interests include mathematical modelling of electrical systems, model order reduction, and controller design. Corresponding author. Email: sunilgautam827@gmail.comSavita NemaSavita Nema was born in Jabalpur, Madhya Pradesh, India. She is currently a professor in the Department of Electrical Engineering at the Maulana Azad National Institute of Technology (MANIT), Bhopal, India. She received her B.E. degree in electrical engineering and her M.E. degree in control systems from Jabalpur Engineering College, Madhya Pradesh, India, in 1990 and 1993, respectively. She received her PhD degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) Bhopal, India, in 2011. She has 30 years’ experience in teaching and research. She has published more than 100 research papers in national and international journals and conferences, and she has co-authored four books. Her current research interests include renewable energy, photovoltaics, control systems, electric drives, and electric vehicles. Email: s_nema@yahoo.comR.K. NemaRajesh Kumar Nema was born in Jabalpur, Madhya Pradesh, India, in 1963. He received his Btech and Mtech degrees in electrical engineering from Bhopal University in 1986 and 1992, respectively. He obtained a PhD degree in electrical engineering from Barkatullah University, Bhopal, in 2004. He has been working as a professor in the Electrical Engineering Department at MANIT Bhopal. He is the author of more than 150 articles. His current research interests include multilevel inverters, solar PV controllers, hybrid energy systems, control systems, and power electronics converters for renewable energy applications. Email: rk_nema@yahoo.com
摘要本文提出了一种结合Mihailov稳定性法(MSM)和稳定性方程法(SEM)的大尺度模型阶消减混合技术。在该方法中,使用MSM估计高阶系统(HOS)的分母系数,而使用SEM计算分子系数。该方法基于MSM,在实际模型稳定的情况下,保证了估计模型的稳定性。MSM还确保了原植物的重要因素,如优势极和稳定性,在降阶系统(ROS)中被保留。将该方法与目前几种使用误差指标的常规约简方法进行了比较,最小的性能误差指标值反映了该方法的优越性。然后利用ROS的传递函数(TF)通过矩匹配技术来设计控制器。将逼近模型设计的控制器应用于实际对象时,结果表明,实际模型闭环系统的响应与参考对象的响应完全重合。为了进一步证明所提方案的有效性,给出了时域规范并绘制了时间响应图。关键词:控制器设计高阶模型mihailov稳定性方法模型降阶模型稳定性方程方法披露声明作者未报告潜在的利益冲突。数据可用性声明作者确认在文章中可以获得支持本研究结果的数据。sunil Kumar Gautam于2013年获得印度北方邦Uttar Pradesh技术大学电气工程学士学位,并于2019年获得印度北方邦阿拉哈巴德Motilal Nehru国立理工学院控制和仪器仪表硕士学位。他目前正在印度中央邦博帕尔Maulana Azad National Institute of Technology攻读控制系统博士学位。他目前的研究兴趣包括电气系统的数学建模、模型降阶和控制器设计。相应的作者。NemaSavita Nema出生于印度中央邦贾巴尔普尔。她目前是印度博帕尔Maulana Azad国立理工学院(MANIT)电气工程系的教授。她分别于1990年和1993年在印度中央邦贾巴尔普尔工程学院获得电气工程学士学位和控制系统硕士学位。她于2011年在印度博帕尔获得拉吉夫·甘地(Rajiv Gandhi)博士学位。她有30年的教学和科研经验。她在国内和国际期刊和会议上发表了100多篇研究论文,并与人合著了四本书。她目前的研究兴趣包括可再生能源、光伏、控制系统、电力驱动和电动汽车。电子邮件:s_nema@yahoo.comR.K。NemaRajesh Kumar Nema于1963年出生在印度中央邦的贾巴尔普尔。他分别于1986年和1992年获得博帕尔大学(Bhopal University)电气工程学士学位和硕士学位。他于2004年在博帕尔的Barkatullah University获得电气工程博士学位。他一直在曼尼特博帕尔大学电气工程系担任教授。他发表了150多篇文章。他目前的研究兴趣包括多级逆变器、太阳能光伏控制器、混合能源系统、控制系统和可再生能源应用的电力电子转换器。电子邮件:rk_nema@yahoo.com
期刊介绍:
IETE Technical Review is a world leading journal which publishes state-of-the-art review papers and in-depth tutorial papers on current and futuristic technologies in the area of electronics and telecommunications engineering. We also publish original research papers which demonstrate significant advances.