PID Controller Design for a Magnetic Levitation System Using an Intelligent Optimisation Algorithm
Nasir Ahmed Al-awad (Mustansiriyah University Baghdad, Iraq); Ayam Mohsen (Al-Mustansiriyah University, Iraq); Majid Eddan Dubkh (Mustansiriyah University Baghdad, Iraq)
Magnetic Levitation System (MLS) parameters can be tuned using different controlling techniques.Magnetic levitation systems are used to levitate objects by using attraction force or repulsive force between magnetic force and ferromagnetic material. The levitation of an object is possible using a control system to help stabilize the magnetic force. This paper investigates a controlling technique for a MLS. The numerical model of the system shows that it has high non-linearity and inherent instability. Different Controlling Methods were applied. A Proportional-Integral-Derivative (PID) controller is tuned using Neural Network (NN) and Genetic Algorithm (GA) due to their ability to control nonlinear plants. The results show better performance of the MLS when NN and GA are used, compared to other classical methods.
Journal: International Journal of Simulation: Systems, Science and Technology IJSSST V19
Published: Mar 30, 2019