SYNTHESIS AND ANALYSIS OF NONLINEAR PREDICTIVE CONTROL FOR DIFFERENT PLANT REPRESENTATIONS | ||
| The International Conference on Electrical Engineering | ||
| Article 60, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Pages 1-12 PDF (118.08 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/iceeng.2006.33658 | ||
| Authors | ||
| Ahmed M. Youssef; Y. Z. Elhalwagy | ||
| Egyptian Armed Force. | ||
| Abstract | ||
| ABSTRACT: A ducted fan has been constructed at California Institute of Technology, in order to provide an experimental test-bed for research and development of different control techniques for Uninhabited Combat Aerial Vehicles (UCAVs). It has many of the characteristics of existing flight control systems and its identification experiments have shown that its model is correct near hover and successful control designs also support this conclusion. This paper presents a comparison between the application of one of the nonlinear Model Based Predictive Control techniques (MBPC), which is called Non-Linear Quadratic Gaussian Predictive Control (NLQGPC), to two different representations of the ducted fan hover model. The paper also provides an insight into the strengths and weakness of each algorithm and into the types of problems, which limit the applicability of those algorithms. | ||
| Keywords | ||
| Model Based Predictive Control (MBPC); Non-linear Quadratic Gaussian Predictive Control; State-Dependent; Linearization Around Trajectory (LAT); Flight simulation; Caltech ducted Fan; Uninhabited Combat Aerial Vehicles (UCAVs) | ||
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