CONTROL SCHEME OF A BOILER-TURBINE USING ADAPTIVE WAVELET NEURAL NETWORK | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 10, Volume 39, No 6, November and December 2011, Page 1387-1401 PDF (194.42 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2011.129429 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Omar Shahin; Mohammad El-Bardini; Nabila M. El- Rabaie | ||||
| Faculty of Electronic Engineering, Menouf, 32852, Egypt | ||||
| Abstract | ||||
| In power plant control system, the capability to achieve an optimal tracking property of the nonlinear multi-input multi-output (MIMO) units has been an important task. This paper proposes a direct adaptive wavelet neural network controller of boiler-turbine system for improving the performance and efficiently achieving the good tracking property to meet the load demands under load changes, large disturbances and change of system operating points. This paper describes the application of a multiloop < br />direct adaptive wavelet neural network for a drum boiler; three important outputs were controlled using a direct adaptive controller. WNNs are rapidly trained with adaptive learning rates (ALRs) which have been derived from the discrete Lyapunov stability theorem and used to guarantee the convergence of the WNN controllers. Simulation results show that the robustness and the good performance of the proposed control system to satisfy stable tracking of the boiler-turbine system. | ||||
| Keywords | ||||
| Boiler-turbine control system; Wavelet transforms; Neural networks; Direct adaptive control | ||||
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