A robust optimal sliding‐mode control approach for magnetic levitation systems

Abstract

This paper presents a robust optimal sliding-mode control approach for position tracking of a magnetic levitation system. First, a linear model that represents the nonlinear dynamics of the magnetic levitation system is derived by the feedback linearization technique. Then, the robust optimal sliding-mode control developed from the linear model is proposed. In the proposed control scheme, the integral sliding-mode control with robust optimal approach is developed to achieve the features of high performance in position tracking response and robustness to the matched and unmatched uncertainties. Simulation and experimental results from the computer-controlled magnetic levitation system are illustrated to show the validity of the proposed control approach for practical applications.

Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model

“…For instance, the feedback linearization [3] or feedforward linearization [4] technology was applied to design a trajectory tracking controller for a nonlinear maglev system. Fuzzy-PID control [5] and adaptive control [3,6,7], sliding-model control [8], fuzzy control [9,10], neural network control [11] and predictive control [1,[12][13][14] were also used to achieve the trajectory tracking in order to improve the robustness and to expand the range of effective control. However, these approaches are mostly on the basis of the physical model of a maglev system.…”

Two-Dimensional Fuzzy Sliding Mode Control of a Field-Sensed Magnetic Suspension System

“…Hence, they are good apparatus for verifying different control techniques. Magnetic suspension systems are appropriate educational tools in engineering courses [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Cho et al [10] provided an experimental comparison between a sliding mode controller and a classical controller for a magnetic levitation system (MLS).…”

“…The implemented driver, sensor, and control circuits are more simple, inexpensive, and effective. Shieh et al [21] proposed a robust optimal sliding-mode control approach for position tracking of a MLS. The feedback linearization method is used and the integral SMC and ∞ control were based on linearized model.…”

Stability and Bifurcation in Magnetic Flux Feedback Maglev Control System

“…Banerjee et al [5] design a control philosophy for simultaneous stabilization and performance improvement of an electromagnetic levitation system. And Shieh et al have presented a robust optimal sliding-mode control approach [6] for position tracking of a magnetic levitation system. Ji et al [7] apply an ∞ control to suppress the spillovers caused by unmodeled dynamics which we estimate using closed loop identification.…”