Prescribed chattering reduction control for quadrotors using aperiodic signal updating

2021 ◽  
Vol 405 ◽  
pp. 126264
Author(s):  
Xiaohui Yue ◽  
Xingling Shao ◽  
Jie Li
Keyword(s):  
Chattering Reduction ◽  
Aperiodic Signal

scholarly journals Adaptive Multivariable Super-Twisting Sliding Mode Controller and Disturbance Observer Design for Hypersonic Vehicle

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Wenru Fan ◽  
Bailing Tian
Keyword(s):  
Disturbance Observer ◽  
Controller Design ◽  
Sliding Mode ◽  
Hypersonic Vehicle ◽  
Observer Design ◽  
Sliding Mode Controller ◽  
Finite Time Convergence ◽  
Gain Adaptation ◽  
Chattering Reduction ◽  
Sliding Manifold

A multivariable super-twisting sliding mode controller and disturbance observer with gain adaptation, chattering reduction, and finite time convergence are proposed for a generic hypersonic vehicle where the boundary of aerodynamic uncertainties exists but is unknown. Firstly, an input-output linearization model is constructed for the purpose of controller design. Then, the sliding manifold is designed based on the homogeneity theory. Furthermore, an integrated adaptive multivariable super-twisting sliding mode controller and disturbance observer are designed in order to achieve the tracking for step changes in velocity and altitude. Finally, some simulation results are provided to verify the effectiveness of the proposed method.

QUANTIFYING STOCHASTIC RESONANCE IN A SINGLE THRESHOLD DETECTOR FOR RANDOM APERIODIC SIGNALS

2004 ◽  
Vol 04 (02) ◽  
pp. L247-L265 ◽  
Author(s):  
ARUNEEMA DAS ◽  
N. G. STOCKS ◽  
A. NIKITIN ◽  
E. L. HINES
Keyword(s):  
Stochastic Resonance ◽  
Cross Correlation ◽  
Signal To Noise Ratio ◽  
Probability Distributions ◽  
Probability Density Functions ◽  
Surprising Result ◽  
Threshold Detector ◽  
Gaussian Form ◽  
Aperiodic Signal

We explore stochastic resonance (SR) effects in a single comparator (threshold detector) driven by either a Gaussian or exponentially distributed aperiodic signal. The behaviour of different performance measures, namely the cross-correlation coefficient (CCC), signal-to-noise ratio (SNR) and mutual information, I, has been investigated. The signals were added to Gaussian noise before being passed through the threshold detector. For the two signals tested, we observe the perhaps surprising result that the SNR never displays SR. However, SR is displayed by both the CCC and I for Gaussian signals. For exponential signals SR is not displayed by any of the measures. By generating signals whose probability distributions have the generalized Gaussian form Ae-|βx|n it is possible to demonstrate that SR ceases to occur if n<1.7. We conclude that SR is only observable in threshold based systems for certain types of aperiodic signal. Specifically, SR is not expected to occur for signals whose probability density functions have long, slowly decaying, tails. We discuss the implication of these results for the role of SR in biological sensory systems.

scholarly journals Variable Structure Control with Chattering Reduction of a Generalized T-S Model

2012 ◽  
Vol 15 (1) ◽  
pp. 155-168 ◽  
Author(s):  
Basil M. Al-Hadithi ◽  
Agustín Jiménez ◽  
Fernando Matía
Keyword(s):  
Variable Structure Control ◽  
Variable Structure ◽  
Structure Control ◽  
Chattering Reduction ◽  
S Model
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