Multi-objective optimization approach to the ALSTOM gasifier problem
A control system design procedure based on the optimization of multiple objectives is used to realize the control design specifications of the linear gasification plant models. A multi-objective genetic algorithm (MOGA) is used in conjunction with an H? loop-shaping design procedure (LSDP) in order...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2000-09-01.
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| Subjects: | |
| Online Access: | Get fulltext |
| Summary: | A control system design procedure based on the optimization of multiple objectives is used to realize the control design specifications of the linear gasification plant models. A multi-objective genetic algorithm (MOGA) is used in conjunction with an H? loop-shaping design procedure (LSDP) in order to satisfy the requirements of this critical system. The H? LSDP is used to guarantee the stability and robustness of the controller while its associated weighting matrix parameters are selected using the multi-objective search method in order to achieve performance requirements. A controller emerges which is stable but unable to completely meet some of the control objectives. Despite this shortcoming, the study is an excellent vehicle for introduction to an effective H? loop-shaping procedure. Further work, beyond the scope of this challenge has subsequently produced an improved controller design |
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