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Adaptive Neural Network Control of Engine RPM
Technical Paper
2004-01-2680
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Conventional fixed controllers in combination with adaptive neural networks provide a powerful controller architecture. By utilizing the existing controller designs and augmenting them with adaptive neural networks engineers may exploit the merits of both control approaches. By adding on an adaptive component to the existing controller the range of operating conditions is increased and robustness to system degradation is improved. One of the simplest neural network controllers is the adaptive linear combiner. In this paper the adaptive linear combiner is described and the controller architecture is applied to an engine rpm controller. Results are given.
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Citation
Rogers, S., "Adaptive Neural Network Control of Engine RPM," SAE Technical Paper 2004-01-2680, 2004, https://doi.org/10.4271/2004-01-2680.Also In
References
- Lewis, F. ‘Nonlinear Network Structures for Feedback Control,' http://ARRI.uta.edu/acs
- Spooner, J Passino, K. ‘Decentralized Adaptive Control of Nonlinear Systems Using Radial Basis Neural Networks,' IEEE Transactions on Automatic Control 44 11 Nov. 1999
- Johnson Eric N. Calise Anthony J. ‘Limited Authority Adaptive Flight Control for Reusable Launch Vehicles' AIAA Journal of Guidance, Control, and Dynamics 26 6 993 1002 Nov-Dec 2003
- Hovakimyan Naira Calise Anthony J. ‘Adaptive Output Feedback Control of Uncertain Multi-Input Multi-Output Systems using Single Hidden Layer Neural Networks,' International Journal of Control 2002