International Journal of Applied Science and Engineering Research

This paper deals with the control of a magnetic elevator system using fuzzy based multiple model predictive control (MMPC). Magnetic elevators are having a huge implementation potential in high-speed, high-rise levitation applications. These elevators are moving in a hoist way without any contact with the cage and guide rail. It results in high speed with minimum friction, less energy consumption, and near zero decibel noise, a trade mark for green buildings. Precise control is required for varying load (occupant weight) and distance (height). This resulted into a complex nonlinear and unstable process with wide operating range which is difficult to control. The complex problem is simplified by dividing into multiple local operating conditions. Different model predictive controllers (MPCs) are designed for these different local operating points. The controller output is the integration of local MPC outputs multiplied with varying fuzzy weights. The fuzzy weights are tuned for different load. Simulation results shows that the proposed fuzzy based MMPC scheme is effective in control of high speed elevators.