A.R. Prashant , Arun K. Tangirala , C. Lakshmana Rao , M.V.V.S. Murthy
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In this framework, dual-mode MPC is particularly advantageous for managing system constraints, offering better adaptability to uncertainties and unexpected disturbances compared to traditional controllers. A detailed evaluation using a Smart Flexible Beam (SFB), employed as an active vibration isolation system, highlights the superior performance of dual-mode MPC. It outperforms standard MPC by providing enhanced fault tolerance in scenarios involving soft sensor failures and offers better constraint-handling capabilities than Linear Quadratic (LQ) controllers. Furthermore, dual-mode MPC demonstrates robustness to parametric variations and ease of tuning, making it a versatile and effective solution. Through comprehensive simulation studies, the proposed framework showcases its efficacy in achieving significant vibration attenuation, maintaining system stability, and ensuring operational reliability, particularly for critical applications such as aerospace. This makes it a promising approach for enhancing the resilience and robustness of smart flexible systems in high-performance environments.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"165 ","pages":"Article 106535"},"PeriodicalIF":4.6000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active fault tolerant active vibration dual-mode Model Predictive Control for a smart flexible beam\",\"authors\":\"A.R. Prashant , Arun K. Tangirala , C. Lakshmana Rao , M.V.V.S. Murthy\",\"doi\":\"10.1016/j.conengprac.2025.106535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To address the challenges of vibration control in flexible systems, an active fault-tolerant control framework utilizing dual-mode Model Predictive Control (MPC) is introduced. This advanced approach integrates fault detection, isolation, and accommodation mechanisms directly into the control system to ensure continuous and reliable operation in the presence of soft sensor faults, minimizing performance degradation and safeguarding system integrity. The framework leverages the predictive capabilities of MPC and the dual-mode stability concept to achieve an optimal balance between active vibration suppression and fault accommodation. In this framework, dual-mode MPC is particularly advantageous for managing system constraints, offering better adaptability to uncertainties and unexpected disturbances compared to traditional controllers. A detailed evaluation using a Smart Flexible Beam (SFB), employed as an active vibration isolation system, highlights the superior performance of dual-mode MPC. It outperforms standard MPC by providing enhanced fault tolerance in scenarios involving soft sensor failures and offers better constraint-handling capabilities than Linear Quadratic (LQ) controllers. Furthermore, dual-mode MPC demonstrates robustness to parametric variations and ease of tuning, making it a versatile and effective solution. Through comprehensive simulation studies, the proposed framework showcases its efficacy in achieving significant vibration attenuation, maintaining system stability, and ensuring operational reliability, particularly for critical applications such as aerospace. This makes it a promising approach for enhancing the resilience and robustness of smart flexible systems in high-performance environments.</div></div>\",\"PeriodicalId\":50615,\"journal\":{\"name\":\"Control Engineering Practice\",\"volume\":\"165 \",\"pages\":\"Article 106535\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Control Engineering Practice\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967066125002977\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066125002977","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Active fault tolerant active vibration dual-mode Model Predictive Control for a smart flexible beam
To address the challenges of vibration control in flexible systems, an active fault-tolerant control framework utilizing dual-mode Model Predictive Control (MPC) is introduced. This advanced approach integrates fault detection, isolation, and accommodation mechanisms directly into the control system to ensure continuous and reliable operation in the presence of soft sensor faults, minimizing performance degradation and safeguarding system integrity. The framework leverages the predictive capabilities of MPC and the dual-mode stability concept to achieve an optimal balance between active vibration suppression and fault accommodation. In this framework, dual-mode MPC is particularly advantageous for managing system constraints, offering better adaptability to uncertainties and unexpected disturbances compared to traditional controllers. A detailed evaluation using a Smart Flexible Beam (SFB), employed as an active vibration isolation system, highlights the superior performance of dual-mode MPC. It outperforms standard MPC by providing enhanced fault tolerance in scenarios involving soft sensor failures and offers better constraint-handling capabilities than Linear Quadratic (LQ) controllers. Furthermore, dual-mode MPC demonstrates robustness to parametric variations and ease of tuning, making it a versatile and effective solution. Through comprehensive simulation studies, the proposed framework showcases its efficacy in achieving significant vibration attenuation, maintaining system stability, and ensuring operational reliability, particularly for critical applications such as aerospace. This makes it a promising approach for enhancing the resilience and robustness of smart flexible systems in high-performance environments.
期刊介绍:
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.