Author(s)

Chun’e Huang^*, Zhongli Liu

The College of Biochemical Engineering, Beijing Union University, Beijing, China.

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.

Gasification, Multi-Objective Optimization, Non-Dominated Sorting Algorithm II (NSGA-II), Active Disturbance Rejection Control (ADRC)

Huang, C. and Liu, Z. (2015) Multi-Objective Optimization for Active Disturbance Rejection Control for the ALSTOM Benchmark Problem. International Journal of Clean Coal and Energy, 4, 61-68. doi: 10.4236/ijcce.2015.43006.