A hybrid model, which adopts a radial basis function (RBF) neural networks with functional
weights (FWRBF) to approximate the coefficients of the state-dependent AutoRegressive …

The presented study provides details on Fuzzy Logic based control of HHO generators aims
at protecting the HHO generator from extreme temperature effects while maximizing the …

Magnetic suspension systems are highly non-linear and unstable. Magnetic levitation
system is modelled here and PID, FUZZY and LQR are designed to control the system. All …

This paper presents designing an adaptive state feedback controller (ASFC) for a magnetic
levitation system (MLS), which is an unstable system and has high nonlinearity and …

This paper shows the implementation of a fuzzy controller applied for magnetic levitation, to
make this, the characterization of the magnetic actuator was computed by using ANSYS® …

Magnetic Levitation System (MLS) is a typical multi-variable, nonlinear and unstable system.
The basic aim of our research work is for suspending the steel ball without any mechanical …

This paper presents a new approach for improving performances of magnetic levitation
system. Controlled parameter is the amplitude which levitated object achieves during …

The presented paper describes accurate distance measurement for a field-sensed magnetic
suspension system. The proximity measurement is based on a Hall effect sensor. The …

This paper aims at the efficient development and implementation of a dual-axis solar
tracking system by using Field Programmable Gate Array (FPGA). Fuzzy logic has been …

Magnetic Levitation System (MLS) parameters can be tuned using different controlling
techniques. Magnetic levitation systems are used to levitate objects by using attraction force …