Robust Self-Learning PID Control of an Aircraft Anti-Skid Braking System

In order to deal with strong nonlinearity and external interference in the braking process, this paper proposes a robust self-learning PID algorithm based on particle swarm optimization, which does not depend precise mathematical model of controlled object. The function is used adapt diversity runway road surface friction, optimize rate self-learning, control modeling uncertainty disturbance system. convergence strategy proved by theoretical analysis simulation experiments. superiority accuracy method are verified NASA ground test results. results shows that adverse effect suppressed, ideal trajectory tracked.