Abstract

Based on a thing that it is difficult to choose the parameters of active disturbance rejection control for the non-linear ALSTOM gasifier, multi-objective optimization algorithm is applied in the choose of parameters. Simulation results show that performance tests in load change and coal quality change achieve better dynamic responses and larger scales of rejecting coal quality disturbances. The study provides an alternative to choose parameters for other control schemes of the ALSTOM gasifier.

Highlights

  • Integrated gasification combined cycle (IGCC) power plants are being developed to provide environmentally clean and efficient power from coal

  • The active disturbance rejection control (ADRC) scheme proposed by Huang [14] achieved better performances than the PI control

  • In the paper, based on the analysis of multi-objective optimal algorithm, Non-Dominated Sorting Algorithm II (NSGA-II) is applied in the choice of parameters for Active Disturbance Rejection Control (ADRC) schemes of the ALSTOM gasifier

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Summary

Introduction

Integrated gasification combined cycle (IGCC) power plants are being developed to provide environmentally clean and efficient power from coal. Among the control of the non-linear ALSTOM gasifier, the PI control shows obvious advantages because of their simple structure and better response performance. The active disturbance rejection control (ADRC) scheme proposed by Huang [14] achieved better performances than the PI control. In the paper, based on the analysis of multi-objective optimal algorithm, NSGA-II is applied in the choice of parameters for ADRC schemes of the ALSTOM gasifier.

ALSTOM Gasifier Model and Control System Specification
NSGA-II for ADRC Scheme of the ALSTOM Gasifier
The Formulation of Multi-Objective Optimization
Results of Multi-Objective Optimization for the ALSTOM Gasifier
Performance Tests
Conclusion

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