Multi-objective optimization approach to the ALSTOM gasifier problem

A control system design procedure based on the optimization of multiple obj ectives is used to realize the control design specifications of the linear gasification plant models. A multi-objective genetic algorithm (MOGA) is us ed in conjunction with an H-infinity loop-shaping design procedure (LSDP) i n order to satisfy the requirements of this critical system. The H-infinity LSDP is used to guarantee the stability and robustness of the controller w hile its associated weighting matrix parameters are selected using the mult i-objective search method in order to achieve performance requirements. A c ontroller emerges which is stable but unable to completely meet some of the control objectives. Despite this shortcoming, the study is an excellent ve hicle for introduction to an effective H-infinity loop-shaping procedure. F urther work, beyond the scope of this challenge has subsequently produced a n improved controller design.