Hebertt Sira-Ramírez , Mario Andrés Aguilar-Orduña , Brian Camilo Gómez-León
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An invariance approach for sliding mode control design in nonlinear switched systems
This article presents a method for synthesizing sliding mode controllers in Single Input Single Output (SISO) switched nonlinear systems. The method, called the invariance control method, utilizes the invariance condition associated with each constant level set of the sliding surface coordinate function. It decomposes the SM control scheme into two parts: a smooth invariance feedback controller and a Delta-Sigma modulator. The smooth invariance feedback controller represents the equivalent control in a specific case, while the Delta-Sigma modulator provides the required binary-valued input signal to the switched plant based on the output of the invariance controller. The method can be applied to differentially flat systems with switched inputs, using linear, self-compensating sliding surface coordinate functions. The approach aligns with the Active Disturbance Rejection Control scheme for the average system but incorporates a Delta-Sigma modulator. The article showcases the method’s effectiveness through digital computer simulations and laboratory experiments with non-trivial application examples.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.