Abstract
Language | English |
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Title of host publication | Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES), International Conference on |
Place of Publication | Piscataway, NJ. |
Publisher | IEEE |
Pages | 164-168 |
Number of pages | 5 |
ISBN (Electronic) | 9781509021185 |
DOIs | |
Publication status | Published - 6 Oct 2016 |
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Keywords
- Grunwald-Letnikov
- active-set
- interior-point
- FOPID
- Sequential Quadratic Programming (SQP)
- Nelder-Mead
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Dynamic modeling of heating furnace & enhancing the performance with PIλDμ controller for fractional order model using optimization techniques. / Basu, Amlan; Mohanty, Sumit; Sharma, Rohit .
Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES), International Conference on. Piscataway, NJ. : IEEE, 2016. p. 164-168.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Dynamic modeling of heating furnace & enhancing the performance with PIλDμ controller for fractional order model using optimization techniques
AU - Basu, Amlan
AU - Mohanty, Sumit
AU - Sharma, Rohit
PY - 2016/10/6
Y1 - 2016/10/6
N2 - Over the year heating furnace system has always suffered a huge loss of heat energy the line of safety of man power. The flow of fuel into chamber of furnace, basically limits the gas pressure inside furnace. So, proper relation between fuel flow rate and gas pressure inside furnace is essential to ensure a proper utilization of heat with minimum settling time and minimum overshoot, so that safety is not compromised. This paper enlightens design of a proper integer order model (IOM) of heating furnace which is further converted into a fractional order model (FOM). This fractional order model is used with PID controllers in closed loop. For enhancing the performance of PID controller, fractional elements are used. Therefore, PIλDμ controller is optimized properly for a smooth, low overshoot response with a very low settling time. These proposed results may be implemented properly in small scale furnaces or large scale industrial furnaces.
AB - Over the year heating furnace system has always suffered a huge loss of heat energy the line of safety of man power. The flow of fuel into chamber of furnace, basically limits the gas pressure inside furnace. So, proper relation between fuel flow rate and gas pressure inside furnace is essential to ensure a proper utilization of heat with minimum settling time and minimum overshoot, so that safety is not compromised. This paper enlightens design of a proper integer order model (IOM) of heating furnace which is further converted into a fractional order model (FOM). This fractional order model is used with PID controllers in closed loop. For enhancing the performance of PID controller, fractional elements are used. Therefore, PIλDμ controller is optimized properly for a smooth, low overshoot response with a very low settling time. These proposed results may be implemented properly in small scale furnaces or large scale industrial furnaces.
KW - Grunwald-Letnikov
KW - active-set
KW - interior-point
KW - FOPID
KW - Sequential Quadratic Programming (SQP)
KW - Nelder-Mead
U2 - 10.1109/ICETEESES.2016.7581378
DO - 10.1109/ICETEESES.2016.7581378
M3 - Conference contribution book
SP - 164
EP - 168
BT - Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES), International Conference on
PB - IEEE
CY - Piscataway, NJ.
ER -