{"title":"采用fracc - smc - rfeso控制提高气动伺服平移并联机器人的轨迹跟踪和能效","authors":"Lian-Wang Lee , Jin-Yu Yang , I-Hsum Li","doi":"10.1016/j.conengprac.2025.106372","DOIUrl":null,"url":null,"abstract":"<div><div>Pneumatic-driven systems often face significant energy consumption challenges, primarily due to compressed air leakage and inefficient utilization. To address these issues, this paper presents a comprehensive solution encompassing both hardware and software designs for a Pneumatic Servo Translational Parallel Manipulator (PS-TPM). On the software side, the proposed energy-efficient controller, Frac-SMC-RFESO, integrates fractional-order sliding mode control with a reduced fractional-order extended state observer (RFESO) to optimize the PS-TPM’s performance. This integration endows the Frac-SMC-RFESO with exceptional adaptability, enabling it to effectively manage the system’s complex dynamics and nonlinearities while minimizing energy consumption. Furthermore, by utilizing the RFESO, the controller estimates system uncertainties and disturbances within the PS-TPM, further enhancing trajectory tracking performance. In its mechanical design, the PS-TPM incorporates double-acting magnetic rodless cylinders paired with proportional directional control valves, improving sealing to prevent air leakage and thereby enhancing energy efficiency. Experimental results highlight the exceptional performance of the Frac-SMC-RFESO controller, achieving superior trajectory tracking while reducing energy consumption by 16% to 47% compared to the RLESO-SMC (an integer-order sliding mode controller with a reduced-order linear extended state observer), LADRC (a linear active disturbance rejection controller), and the PID controller.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106372"},"PeriodicalIF":5.4000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing trajectory tracking and energy efficiency in Pneumatic Servo Translational Parallel Manipulator with Frac-SMC-RFESO Control\",\"authors\":\"Lian-Wang Lee , Jin-Yu Yang , I-Hsum Li\",\"doi\":\"10.1016/j.conengprac.2025.106372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pneumatic-driven systems often face significant energy consumption challenges, primarily due to compressed air leakage and inefficient utilization. To address these issues, this paper presents a comprehensive solution encompassing both hardware and software designs for a Pneumatic Servo Translational Parallel Manipulator (PS-TPM). On the software side, the proposed energy-efficient controller, Frac-SMC-RFESO, integrates fractional-order sliding mode control with a reduced fractional-order extended state observer (RFESO) to optimize the PS-TPM’s performance. This integration endows the Frac-SMC-RFESO with exceptional adaptability, enabling it to effectively manage the system’s complex dynamics and nonlinearities while minimizing energy consumption. Furthermore, by utilizing the RFESO, the controller estimates system uncertainties and disturbances within the PS-TPM, further enhancing trajectory tracking performance. In its mechanical design, the PS-TPM incorporates double-acting magnetic rodless cylinders paired with proportional directional control valves, improving sealing to prevent air leakage and thereby enhancing energy efficiency. Experimental results highlight the exceptional performance of the Frac-SMC-RFESO controller, achieving superior trajectory tracking while reducing energy consumption by 16% to 47% compared to the RLESO-SMC (an integer-order sliding mode controller with a reduced-order linear extended state observer), LADRC (a linear active disturbance rejection controller), and the PID controller.</div></div>\",\"PeriodicalId\":50615,\"journal\":{\"name\":\"Control Engineering Practice\",\"volume\":\"162 \",\"pages\":\"Article 106372\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-05-13\",\"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/S0967066125001352\",\"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/S0967066125001352","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}
Enhancing trajectory tracking and energy efficiency in Pneumatic Servo Translational Parallel Manipulator with Frac-SMC-RFESO Control
Pneumatic-driven systems often face significant energy consumption challenges, primarily due to compressed air leakage and inefficient utilization. To address these issues, this paper presents a comprehensive solution encompassing both hardware and software designs for a Pneumatic Servo Translational Parallel Manipulator (PS-TPM). On the software side, the proposed energy-efficient controller, Frac-SMC-RFESO, integrates fractional-order sliding mode control with a reduced fractional-order extended state observer (RFESO) to optimize the PS-TPM’s performance. This integration endows the Frac-SMC-RFESO with exceptional adaptability, enabling it to effectively manage the system’s complex dynamics and nonlinearities while minimizing energy consumption. Furthermore, by utilizing the RFESO, the controller estimates system uncertainties and disturbances within the PS-TPM, further enhancing trajectory tracking performance. In its mechanical design, the PS-TPM incorporates double-acting magnetic rodless cylinders paired with proportional directional control valves, improving sealing to prevent air leakage and thereby enhancing energy efficiency. Experimental results highlight the exceptional performance of the Frac-SMC-RFESO controller, achieving superior trajectory tracking while reducing energy consumption by 16% to 47% compared to the RLESO-SMC (an integer-order sliding mode controller with a reduced-order linear extended state observer), LADRC (a linear active disturbance rejection controller), and the PID controller.
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.