Research on Particle Swarm Fusion Sliding Mode Tracking Decoding Technology for Rotary Transformer

Abstract

A sliding mode tracking fusion particle swarm optimization (PSO) was proposed to solve the soft decoding problem of the rotary transformer. Firstly, the principle of soft decoding of the rotary transformer was expounded and analyzed. Then the mathematical model of the sliding mode tracking and decoding system was established. Based on sliding mode tracking and decoding, the parameters in the model were selected iteratively by using a particle swarm optimization algorithm according to the fitness value function. Finally, the simulation environment was built by Simulink and S-function for simulation verification. The simulation results show that the decoding scheme based on particle swarm optimization and sliding mode tracking can track and decode the rotating transformers at different speeds, such as uniform speed, acceleration speed, and sines/cosines speed, without steady-state error and with certain anti-interference.