Innovative inverse control techniques for adaptive tracking of nonlinear dynamic plants

Tahir Khan*, Muhammad Shafiq

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

2 اقتباسات (Scopus)

ملخص

Adaptive tracking of nonlinear dynamic plants is presently an active area of research. The main difficulty felt in establishing the tracking of nonlinear dynamic plants is the computational complexity in controller design. This paper presents novel adaptive tracking techniques for a class of nonlinear dynamic plants based on a control oriented model known as U-model. The use of U-model reduces the computational complexity of the controller design that occurs when using other modelling frame works such as NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. Four different adaptive control techniques based on U-model are discussed namely adaptive inverse control (AIC), adaptive internal model control (AIMC), AIC with pole-placement and AIMC with pole-placement. The proposed techniques are implemented in real-time on a laboratory scale experimental setup for speed control of DC-motor. The results of the experiments are provided.

اللغة الأصليةEnglish
عنوان منشور المضيفIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
حالة النشرPublished - 2006
منشور خارجيًانعم
الحدثIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan
المدة: أبريل ٢٢ ٢٠٠٦أبريل ٢٣ ٢٠٠٦

سلسلة المنشورات

الاسمIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Other

OtherIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
الدولة/الإقليمPakistan
المدينةIslamabad
المدة٤/٢٢/٠٦٤/٢٣/٠٦

ASJC Scopus subject areas

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