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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saini, J.S. Singh, Y.P. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Electr. Eng., Regional Eng. Coll., Hamirpur, India (Saini, J.S.) |
| Abstract | The establishment of expert control techniques and their actual industrial impact have been inhibited by the lack of a comprehensive design methodology. This paper summarizes the principal drawbacks limiting the development of a definitive methodology and addresses the key problem of acquisition of process/plant knowledge, clarifying first the types of knowledge. For a case-study, a real-time fuzzy rule-based controller employing causal knowledge is designed for the control of liquid level in a pilot plant. It is tested for closed-loop operation under different conditions, viz., set point change, noise disturbance, and structural (parametric) change. The results show that the fuzzy controller employing causal knowledge yields superior performance over a qualitative controller and the conventional PID controller implemented on the same plant and subjected to similar disturbances.<> |
| Starting Page | 101 |
| Ending Page | 108 |
| File Size | 624692 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780320816 |
| DOI | 10.1109/IACC.1995.465860 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-01-05 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Fuzzy control Fuzzy sets Industrial control Design methodology Three-term control Electrical equipment industry Sun Testing Noise level |
| Content Type | Text |
| Resource Type | Article |
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