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https://dspace.ctu.edu.vn/jspui/handle/123456789/68907
Title: | Advanced control design for a high-precision heating furnace using combination of pi/neural network |
Authors: | Nguyen, Quoc Lin Do, Minh Xuan Dang, Xuan Ba |
Keywords: | Heating System PI Feed-Forward Control Neural Network Nonlinear Learning |
Issue Date: | 2019 |
Series/Report no.: | Tạp chí Khoa học Giáo dục Kỹ thuật;Số 55 .- Tr.25-31 |
Abstract: | Nowadays, thermal energy plays a very important role in manufacturing as well as daily activities, such as: steaming, drying, pasteurization, sterilization, steel refining, cooking, heating. Day by day, high-accuracy control is required to increase the performance of the thermal applications. However, nonlinear characteristics and high-inertial property are main obstacles in the development of precise controllers. In this paper, we propose an intelligent control scheme to improve the performance of a typical heat furnace. The mathematical model of the plant is first identified based on the experimental data acquired. The controller is then designed with a proportional-integral (PI) regulator and a neural-network-based adjustor. The linear control term is employed to ensure the excellent steady-state behavior while the intelligent control signal is worked as a feed-forward predictor to maintain the acceptable transient performance. The PI control gains are obtained using an auto-tuning toolbox. A nonlinear updating method is developed to increase the learning speed of the network. Effectiveness and feasibility of the proposed controller are confirmed both by simulation and real-time experimental results. |
URI: | https://dspace.ctu.edu.vn/jspui/handle/123456789/68907 |
ISSN: | 1859-1272 |
Appears in Collections: | Khoa học Giáo dục Kỹ thuật |
Files in This Item:
File | Description | Size | Format | |
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_file_ Restricted Access | 2.04 MB | Adobe PDF | ||
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