Bio-inspired algorithms in PID controller optimization / Jagatheesan Kaliannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashour.
| Author/creator | Kaliannan, Jagatheesan |
| Other author | Baskaran, Anand. |
| Other author | Dey, Nilanjan, 1984- |
| Other author | Ashour, Amira, 1975- |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC/Taylor & Francis Group, [2018] |
| Description | xiii, 75 pages : illustrations, charts ; 23 cm. |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Intelligent signal processing and data analysis |
| Contents | Load frequency control and automatic generation control -- Bio-inspired optimization algorithms -- Literature survey -- Load frequency control of single area thermal power system with biogeography based optimization technique -- Investigated thermal power system -- Controller design and objective function -- Biogeography based optimization technique -- Results and analysis -- Conclusion -- Automatic generation control of multi-area interconnected thermal power system with SMES unit and ACO- PID controller -- Thermal power system under study -- Superconducting magnetic energy storage (SMES) unit -- PID controller design -- Ant colony optimization -- Simulation results and discussions -- Conclusion -- FPA optimized PID controller for performance improvement of multi-area interconnected thermal power system with non-linearities -- Investigated multi-area interconnected power system -- Controller design and objective function -- Flower pollination algorithm (FPA) -- Simulation result and analysis -- Conclusion -- Challenges and future perspectives. |
| Abstract | This book discusses in-depth role of optimization to optimize the controller parameters. Many comparative studies to evaluate the performance of different optimization techniques are included with different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms-- Provided by publisher. |
| General note | "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018014060 |
| ISBN | 9781138598164 (hardback : acid-free paper) |
| ISBN | ebook |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |