Third International Conference on Natural Computation (ICNC 2007) 2007
DOI: 10.1109/icnc.2007.519
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Optimal Excitation Control of Synchronous Generator Based on Adaptive Ants Colony Algorithm

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Cited by 3 publications
(2 citation statements)
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“…The time response of the system in (12) to a unit step input is given in (13). If "t r " is the required rise time for the design, it is defined as the time required for the response to rise from 10% to 90% of its final value and the resulting expression for K D is given by (14).…”
Section: Analog Pid Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…The time response of the system in (12) to a unit step input is given in (13). If "t r " is the required rise time for the design, it is defined as the time required for the response to rise from 10% to 90% of its final value and the resulting expression for K D is given by (14).…”
Section: Analog Pid Controller Designmentioning
confidence: 99%
“…With the help of precise data for the system in all these cases, optimum performance is observed. However, in the absence of precise data, the initial requirements such as initial weight for the neural network, trails in ant colony algorithms [12], norms in multi-objective optimization, population size in swarm optimization [13] and rules in the fuzzy technique are not precisely set; therefore, the control process fails. To calculate the analog controller parameters for the excitation systems and to operate it within the protection limits, a method was proposed in [14] to make the performance indexes of the designed controller to comply with the IEEE standard but the method is only suitable for analog controllers.…”
Section: Introductionmentioning
confidence: 99%