Design of Nonlinear Active Disturbance Rejection Controller Based on the Adaptive Particle Swarm Optimization Algorithm for the Maglev Train Traction Control System
Algorithm 2
Adaptive updating of inertial weight values.
1: Set the maximum inertia weight and minimum inertia weight .
2: In each iteration of the algorithm, the fitness value of the particle is randomly extracted.
3: Calculate the Minimum Fitness Value in the Current Iteration and save It
4: Calculate the Average Fitness of the Current Population and save It
