A generalized regular form for sliding mode stabilization of MIMO systems

2002 ◽  
Author(s):  
W. Perruquetti ◽  
P. Borne ◽  
J.P. Richard
Keyword(s):  
Mimo Systems ◽  
Sliding Mode ◽  
Regular Form ◽  
Mode Stabilization

Analysis of Sliding Mode for Mimo Systems

1997 ◽  
Vol 30 (6) ◽  
pp. 799-803
Author(s):  
W. Perruquetti ◽  
P. Borne ◽  
J.P. Richard
Keyword(s):  
Mimo Systems ◽  
Sliding Mode

Sliding Mode Controller for Two Conical Tank Interacting Level System

2014 ◽  
Vol 573 ◽  
pp. 273-278 ◽  
Author(s):  
V.R. Ravi ◽  
M. Monica ◽  
S. Amuthameena ◽  
S.K. Divya ◽  
S. Jayashree ◽  
...  
Keyword(s):  
Robust Control ◽  
Mimo Systems ◽  
Sliding Mode ◽  
Parameter Variation ◽  
Sliding Surface ◽  
Level System ◽  
Point Tracking ◽  
Coupling Dynamics ◽  
Integral Sliding Surface ◽  
Pid Sliding Surface

In this paper, the robust control problem of interacting nonlinear multi-input multi-output (MIMO) systems is proposed. The robustness against unknown process parameter variation is considered. Three algorithms based on the Sliding Mode Control (SMC) are proposed: SMC with conventional surface, SMC with PID surface and SMC with integral surface. The effectiveness of these algorithms are simulated and implemented on Two Conical Tank Interacting Level System (TCTILS) which exhibits dynamic non linearity and coupling dynamics. The SMC with conventional sliding surface provides robust control against parameter variation and excellent set point tracking compared to SMC with PID sliding surface and SMC with integral sliding surface.

Suppressing the Noise in Measured Signals for the Control of Helicopters

2019 ◽  
Vol 18 (01) ◽  
pp. 1950002 ◽  
Author(s):  
Deepali Y. Dube ◽  
Hiren G. Patel
Keyword(s):  
Adaptive Filter ◽  
Mimo Systems ◽  
Sliding Mode ◽  
Euler Angle ◽  
Linear Matrix ◽  
Frequency Spectra ◽  
Non Linear ◽  
The Future ◽  
The Stability ◽  
Non Linear System

This paper concerns with the non-linear system having multiple-inputs multiple-outputs (MIMO). The plant mainly comprises: bench-top helicopter, tail and main rotor of a helicopter system. The dynamics are presented with control methodologies where a conventional strategy proves the instability of the system while the deadbeat and sliding mode control with linear matrix inequality regulates the future estimates. There have been disturbances like presence of unwanted ripples in the output of the non-linear systems (in case of stability also after 100[Formula: see text]s) and in the tracking of states accurately by updating the minimization error regularly. These problems originate mainly from the rotor section and are visited carefully by studying the dynamics of the blade, whereas, the design of filter makes the solution more appealing. The adaptive filter is capable of handling the frequency spectra of noise (reducing noise by 10[Formula: see text]dB), Euler angle deviations and travel angle accurately. Also, the stability analysis does not confirm the behavior in the case of bounded and a varying range of initial angular velocity. Hence, the problem of fluctuations is overcome by deadbeat and SMC-LMI approach which not only improved the ripples but also allowed the final response of the future states to be more exact and noiseless. As the previous research involved in position tracking (either translational or rotational) of these MIMO systems was concerned with software tools like MATLAB. This paper justifies its validation tested experimentally on OPAL RT hardware. The key findings involve the comparison of frequency spectra, the Euler deviation plot compared to CSL Helicopter and the three set-point variations providing accuracy in results in four modes — desired, actual, with controller-without filter and with controller-with filter. The use of adaptive filter with controllers have encouraged the suppression of noisy waveforms in the bench-top system very smoothly. The details regarding hardware setup are also discussed.

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