Optimization design of ADRC for oxygen content in flue gas based on chaos particle swarm optimization algorithm

ADRC control system is applied to the oxygen content in flue gas of chain boiler combustion. The chaos particle swarm optimization algorithm is employed for the control system to deal with the difficulty in the parameter regulation of the ADRC. The optimal ADRC parameters can be searched automatically. The proposed Chaos Particle Swarm Optimization approach has fine computational efficiency and could be easily implemented. This control strategy enables the system to have the advantages of adaptability, rapidity and high control precision. A simulation verification of the optimization approach has been conducted by using a chain boiler combustion model. The simulation results show that the optimal design method is viable.