📄 IJAERD-OJS-1345
Effect of Fuzzy Inference Systems on PID Controlled DC Motor
| Author(s) | : | Sangam Malkania, Simarpreet Singh, Tejpal Singh |
| Institution | : | Electrical Department, BBSB Engineering College |
| Published In | : | Vol. 3, Issue 4 — April 2016 |
| Page No. | : | 178-175 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Abstract
In this paper we have designed a PID Controlled DC motor whose speed is controlled using Mamdani fuzzyInference system and Sugeno Fuzzy Inference system. First Mamdani FIS is designed according to various rules. InSugeno FIS system three FLC’s are used. The Sugeno FIS system was able to improve the speed response of PIDcontrolled DC motor. Comparison between the outputs of two fuzzy inference systems is done. The result shows that theSugeno system having better response than Mamdani FIS system
🕮 How to Cite
Sangam Malkania, Simarpreet Singh, Tejpal Singh, “Effect of Fuzzy Inference Systems on PID Controlled DC Motor”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 4, pp. 178-175, April 2016.
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