{"title":"基于附加作动信号控制策略的二阶系统性能分析","authors":"B. Datta, Arnab Das, Achintya Das","doi":"10.1109/AISP53593.2022.9760609","DOIUrl":null,"url":null,"abstract":"In the present paper, a AAS based Control strategy has been implemented as an adaptive control technique. The transfer function representing the dynamics of a plant was obtained. The system was modeled in Simulink and simulated without being compensated. The output response in terms of concentration to unit step input revealed that a compensator was needed to get better transient characteristics performance. In order to achieve the desired response from the Control System, in excess of the normal Actuating Signal, an introduction of an compensating signal is proposed. This signal, which may be called the Additional Actuating Signal (AAS), helps in controlling output in the control system, in the systems working environment. A Model Reference Adaptive Controller (MRAC) was designed along with AAS, based on the MIT rule and incorporated with the plant. The Simulink model of the MRAC control for the plant is developed. The simulation results obtained showed that the modified controller provided meticulous and improved tracking error for the range of gain selected, with gain adjusted from 6 to 48 providing the most effective and meticulous tracking error performance.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"41 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Second Order System Performance Analysis based on Additional Actuating Signal Control Strategy\",\"authors\":\"B. Datta, Arnab Das, Achintya Das\",\"doi\":\"10.1109/AISP53593.2022.9760609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present paper, a AAS based Control strategy has been implemented as an adaptive control technique. The transfer function representing the dynamics of a plant was obtained. The system was modeled in Simulink and simulated without being compensated. The output response in terms of concentration to unit step input revealed that a compensator was needed to get better transient characteristics performance. In order to achieve the desired response from the Control System, in excess of the normal Actuating Signal, an introduction of an compensating signal is proposed. This signal, which may be called the Additional Actuating Signal (AAS), helps in controlling output in the control system, in the systems working environment. A Model Reference Adaptive Controller (MRAC) was designed along with AAS, based on the MIT rule and incorporated with the plant. The Simulink model of the MRAC control for the plant is developed. The simulation results obtained showed that the modified controller provided meticulous and improved tracking error for the range of gain selected, with gain adjusted from 6 to 48 providing the most effective and meticulous tracking error performance.\",\"PeriodicalId\":6793,\"journal\":{\"name\":\"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)\",\"volume\":\"41 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AISP53593.2022.9760609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISP53593.2022.9760609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Second Order System Performance Analysis based on Additional Actuating Signal Control Strategy
In the present paper, a AAS based Control strategy has been implemented as an adaptive control technique. The transfer function representing the dynamics of a plant was obtained. The system was modeled in Simulink and simulated without being compensated. The output response in terms of concentration to unit step input revealed that a compensator was needed to get better transient characteristics performance. In order to achieve the desired response from the Control System, in excess of the normal Actuating Signal, an introduction of an compensating signal is proposed. This signal, which may be called the Additional Actuating Signal (AAS), helps in controlling output in the control system, in the systems working environment. A Model Reference Adaptive Controller (MRAC) was designed along with AAS, based on the MIT rule and incorporated with the plant. The Simulink model of the MRAC control for the plant is developed. The simulation results obtained showed that the modified controller provided meticulous and improved tracking error for the range of gain selected, with gain adjusted from 6 to 48 providing the most effective and meticulous tracking error performance.