Idael Oliva‐Leal, Jorge Said Cervantes‐Rojas, Rogelio Lozano, Iván González‐Hernández
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Optimized chattering‐attenuated sliding mode controller for a perturbed VTOL system
This study presents a novel design of an optimized chattering‐attenuated quasi‐sliding mode controller for the stabilization of a vertical take‐off and landing aircraft affected by external disturbances. We propose a methodology based on a particle swarm optimization algorithm to provide an optimal boundary layer thickness of the quasi‐sliding mode controller (QSMC) structure based on a sigmoid‐type function approximation to reduce the chattering noise in the control signal while an adequate stabilization quality is guaranteed. This represents an alternative to the common strategies based on a trial and error tuning of such boundary layer thickness of sigmoid‐type approximations. Also, the Lyapunov formalism is applied to restrict the search space of the QSMC gain to guarantee stability conditions. Some simulation tests were carried out to demonstrate the enhanced chattering attenuation capability of the proposed solution against a standard sliding mode controller and the superior stabilization performance versus other robust controllers.
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.