Design of a discrete-time sliding mode controller for a magnetic levitation system using multirate output feedback

Author(s):  
Vitthal S Bandal ◽  
Pratik N Vernekar
Author(s):  
Pratik Vernekar ◽  
Vitthal Bandal

This paper presents three types of sliding mode controllers for a magnetic levitation system. First, a proportional-integral sliding mode controller (PI-SMC) is designed using a new switching surface and a proportional plus power rate reaching law. The PI-SMC is more robust than a feedback linearization controller in the presence of mismatched uncertainties and outperforms the SMC schemes reported recently in the literature in terms of the convergence rate and settling time. Next, to reduce the chattering phenomenon in the PI-SMC, a state feedback-based discrete-time SMC algorithm is developed. However, the disturbance rejection ability is compromised to some extent. Furthermore, to improve the robustness without compromising the chattering reduction benefits of the discrete-time SMC, mismatched uncertainties like sensor noise and track input disturbance are incorporated in a robust discrete-time SMC design using multirate output feedback (MROF). With this technique, it is possible to realize the effect of a full-state feedback controller without incurring the complexity of a dynamic controller or an additional discrete-time observer. Also, the MROF-based discrete-time SMC strategy can stabilize the magnetic levitation system with excellent dynamic and steady-state performance with superior robustness in the presence of mismatched uncertainties. The stability of the closed-loop system under the proposed controllers is proved by using the Lyapunov stability theory. The simulation results and analytical comparisons demonstrate the effectiveness and robustness of the proposed control schemes.


2013 ◽  
Vol 380-384 ◽  
pp. 550-555
Author(s):  
Rong Rong Song ◽  
Zi Li Chen

This paper develops a sliding-mode controller with fuzzy rules for the single magnetic levitation system with delay, different signals and interference. The control algorithm comprises a sliding-mode controller which is designed for enhancing robustness when plant uncertainties, and a fuzzy controller which is designed for smoothing the control input when switching at these boundary manifolds. An algorithm is presented for selecting the coefficients of the swithing plane such that the overall closed-loop system has stable eigenvalues. A control input is shown to be smoothing and overcome the chatter. The performance of the single magnetic levitation system is obtained by simulation and experimental results which show that the proposed fuzzy sliding-mode controller algorithm is effective for tracking different signals with interference.


2021 ◽  
Author(s):  
Pratik Vernekar

Abstract This paper presents three types of sliding mode controllers for a magnetic levitation system. First, a proportional-integral sliding mode controller (PI-SMC) is designed using a new switching surface and a proportional plus power rate reaching law. The PI-SMC is more robust than a feedback linearization controller in the presence of mismatched uncertainties and outperforms the SMC schemes reported recently in the literature in terms of the convergence rate and settling time. Next, to reduce the chattering phenomenon in the PI-SMC, a state feedback-based discrete-time SMC algorithm is developed. However, the disturbance rejection ability is compromised to some extent. Furthermore, to improve the robustness without compromising the chattering reduction benefits of the discrete-time SMC, mismatched uncertainties like sensor noise and track input disturbance are incorporated in a robust discrete-time SMC design using multirate output feedback (MROF). With this technique, it is possible to realize the effect of a full-state feedback controller without incurring the complexity of a dynamic controller or an additional discrete-time observer. Also, the MROF-based discrete-time SMC strategy can stabilize the magnetic levitation system with excellent dynamic and steady-state performance with superior robustness in the presence of mismatched uncertainties. The stability of the closed-loop system under the proposed controllers is proved by using the Lyapunov stability theory. The simulation results and analytical comparisons demonstrate the effectiveness and robustness of the proposed control schemes.


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