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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiangjiang Wang Dawei An |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Energy & Power Eng., North China Electr. Power Univ., Baoding (Jiangjiang Wang) |
| Abstract | This paper studied the application of neural network PID in the central air-conditioning system. From the control viewpoint, the central air-conditioning system has chrematistic as large inertia, delay and nonlinear and uncertain disturbance factor, for example the indoor and outdoor. In order to acquire better performance in the central air-conditioning system, the neural network PID control was studied through comparing the traditional PID control in simulation and experiments. The output of system was predicted through the algorithm of nonlinear, at last based on the mathematical model of air-conditioning space, the simulation and the experiment in a studio of TV station have found that neural network PID controller has the capability of self-studying and self-adapting and obtain faster response and better performance |
| Sponsorship | IEEE Singapore Sect. IEEE Singapore SMC Chap. IEEE Singapore RA Chap |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 265486 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424400236 |
| DOI | 10.1109/ICCIS.2006.252328 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-07 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Three-term control Centralized control Central air conditioning Nonlinear control systems Control systems Delay Prediction algorithms Mathematical model Space stations temperature Neural network PID control prediction air - conditioning system |
| Content Type | Text |
| Resource Type | Article |
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