Abstract
In low frequencies, based on the linear model of giant magnetostrictive actuator, the PID controller is designed. According to the situation of fixed parameter controller with weak adaptive capacity, an intelligent algorithm - Invasive Weed Optimization (IWO) with competition mechanism is introduced to optimize the PID controller parameters. Invasive Weeds Optimization can elect adaptable seeds as optimal parameters through reproduction, spatial distribution and survival of the fittest. It has strong global and local search capability, which can effectively improve the control robustness and position tracking accuracy. Simulation results show that: for the step signal, compared with the traditional PID control, weed control PID control has the characteristics of high precision, good tracking performance and strong noise suppression capability.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
