This thesis investigates the potential for utilizing the Beckhoff CX5120 industrial embedded computer with the TwinCAT environment to control a magnetic suspension system. The magnetic levitation system, Amira MA400, presents a number of challenges due to its inherent instability and nonlinear characteristics.
The study aims to develop a simulation model, design a closed-loop control strategy, and implement it on actual hardware for the purpose of evaluating performance. A proportional-integral-derivative (PID) controller is employed due to its simplicity and effectiveness. Simulations conducted using MATLAB and Simulink facilitate the optimization of PID parameters, which are subsequently validated through real-world experiments. The control strategy effectively maintains levitation stability, even in the presence of limited disturbances.
This thesis demonstrates the feasibility of employing this type of PID control to stabilize an unstable system, as evidenced by four experiments that test the robustness and limits of that method of control.
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