An immune co-evolutionary algorithm based approach for optimization control of gas turbine

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An immune co-evolutionary algorithm based approach for optimization control of gas turbine

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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents

Shanghai, China

SESSION: Full papers table of contents

Pages 751-756

Year of Publication: 2009

ISBN:978-1-60558-326-6

Authors

Xiang-feng Zhang	Shanghai Dianji University, Shanghai, China
Jun Liu	Shanghai Dianji University, Shanghai, China
Yong-sheng Ding	Donghua University, Shanghai, China

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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Downloads (6 Weeks): 11, Downloads (12 Months): 30, Citation Count: 0

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ABSTRACT

Gas turbine is a complex non-linearity system and operates in variable conditions. Traditional control methods are usually adopted in the control loop of gas turbine. The methods may cause control error with the theoretically correct value. In this paper, an immune co-evolutionary algorithm (ICEA) is proposed inspired by immune mechanisms and co-evolutionary computation. And the control of gas turbine is optimized with the ICEA. The procedures of the ICEA mainly include clonal selection and proliferation, fitness evaluation, hyper-mutation, co-evolution and antibody population update. The fitness function is defined referencing to the control model of gas turbine considering some constraints, such as the compressor surge edge constraints and the highest initial gas temperature. Two cases are simulated using the ICEA when the system is accelerated to the partial load and the maximum load, respectively. The simulations show that the ICEA can optimize the quantity of oil to make the gas turbine system reach the terminal status within the shortest time. And the consumed time for the latter is longer than that for the former. The results demonstrate that the ICEA has good feasibility and practicability for the optimization control of gas turbine.

REFERENCES

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