Hybrid intelligent controller design for an unstable Electromagnetic Levitation System: A fuzzy interpolative controller approach

Abstract

This article presents the design and implementation of hybrid intelligent controller for the dynamically nonlinear and unstable electromagnetic levitation system (EMLS). The hybrid design is having the intelligence of the fuzzy interpolative controller (FIC) with estimation ability and noise immunity achieved by means of the Kalman filter. The fuzzy inference system (FIS) is replaced by fuzzy linear interpolation networks based on look-up table to form the fuzzy rule base in ordered to reduce the computational complexity and to boost up the execution speed of the control approach as compared to conventional Mamdani or Sugeno type FIS toolkits. The proposed design stabilises the EMLS under wide initial and assorted operating conditions. Further, the proposed controller maintains the performance robustness under 0-25% of vertical payload disturbance by holding the steel ball within the safe limits. Simulation results are presented to validate the novelty and effectiveness of the proposed approach for EMLS.