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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yonggang Liu Bingxiang Zhong Taifu Li Yingying Su |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Tech., Chongqing (Yonggang Liu; Bingxiang Zhong; Taifu Li; Yingying Su) |
| Abstract | In order to utilize the advantages of fuzzy PID controller, reduce its computational delay and popularize its applications with hardware implementation, an equivalent Elman NN model with universal function approximating ability was utilized to accurately approach a known fuzzy PID controller. After that, the same plant model which was controlled by the fuzzy PID controller and the equivalent NN model were simulated with different reference inputs, respectively. Results demonstrate that control qualities from two different controllers were extremely similar. Therefore, the dynamics of fuzzy PID controller can be replaced by an equivalent Elman NN model, this method can enhance its implementation with parallel operation at VHDL language, so as to reduce the computational delay and improve the real-time performance. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 461244 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781889335384 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | TSI ENTERPRISES, INC. |
| Subject Keyword | Fuzzy control Three-term control Neural networks Fuzzy systems Error correction Control systems Concurrent computing Electrical equipment industry Automatic control Nonlinear control systems |
| Content Type | Text |
| Resource Type | Article |
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