An optimal proportional integral derivative tuning for a magnetic levitation system using metamodeling approach

Abstract

<span>A magnetic levitation system (MLS) is a complex nonlinear system that requires an electromagnetic force to levitate an object in the air. The electromagnetic field is extremely sensitive to noise which can cause the acceleration on the spherical object, leading it to move into the unbalanced region. This paper presents a comparative assessment of controllers for the magnetic levitation system using proportional integral derivative (PID) controller based optimal tuning. The analysis was started by deriving the mathematical model followed by the implementation of radial basis function neural network (<a name="_Hlk93327650"></a>RBFNN) based metamodel. The optimal tuning of the PID controller has offered better transient responses with the improvement of overshoot and the rise time as compared to the standard optimization methods. It is more robust and tolerant as compared to gradient descent method. The simulation output using the radial basis based metamodel approach showed an overshoot of 9.34% and rise time of 9.84 ms, which are better than the gradient descent (GD) and conventional PID methods. For the verification purpose, a Simscape model has been developed which mimic the real model. It was found that the model has produced about similar performance as what has been obtained from the MATLAB simulation.</span>

Enhanced backstepping control for disturbances rejection in quadrotors

“…MATLAB/Simulink is the most useful software used to test the behaviour of nonlinear systems and to validate the results of the recently developed controllers [38], [40], [41]. Therefore, model simulation is done using MATLAB/Simulink program to verify our suggested control approach.…”

Study of the Acute Stress Effects on Decision Making Using Electroencephalography and Functional Near-Infrared Spectroscopy: A Systematic Review

“…stress is also utilized in various fields, such as mechanical systems and materials. Special controllers, like optimal controllers, are employed to regulate stress in these systems [10]. In humans The stress response is initiated when the amygdala perceives a threat through sensory input, resulting in increased activity of the amygdala [11], and activation of the hypothalamic-pituitary-adrenal (HPA) axis, a major hormonal system involved in the response to stress [12]- [15].…”

“…In humans The stress response is initiated when the amygdala perceives a threat through sensory input, resulting in increased activity of the amygdala [11], and activation of the hypothalamic-pituitary-adrenal (HPA) axis, a major hormonal system involved in the response to stress [12]- [15]. The HPA axis plays a crucial role in preserving the homeostatic equilibrium by transmitting the central stress response to peripheral body systems [10]. In the long term, excessive activation of the HPA leads to an increase in heart rate and blood pressure [12].…”