Improved PSO Algorithm-Based Online Optimization Design for ADRC Controller

摘要

This paper deals with the ADRC controller design. Aiming at its three main parameters related to interference rejection, a PSO algorithm-based on-line optimization method is proposed. In order to raise the efficiency of on-line optimization, two improvements are applied in the PSO algorithm, one is using the threshold of system error to trigger the PSO algorithm, and the other is using the Pareto elitism strategy in the PSO algorithm. The simulation results show that the proposed PSO-based ADRC controller has strong robustness and adaptability for the systems with large time delay and strong interference.