Super-Twisting control with zero crossing gain adaptation. Stability analysis and validation
[EN] In the latest years, the Second Order Sliding Mode (SOSM) control have been emerged as a powerful alternative to traditional sliding mode control. Within this kind of algorithms, the SOSM Super-Twisting Algorithm (STA) allows to significantly reduce the control chattering (high frequency oscill...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/339846 |
| Acceso en línea: | http://hdl.handle.net/10261/339846 |
| Access Level: | acceso abierto |
| Palabra clave: | Control por Modos Deslizantes Adaptación de Ganancias Algoritmo Super-Twisting Sistemas de Potencia |
| Sumario: | [EN] In the latest years, the Second Order Sliding Mode (SOSM) control have been emerged as a powerful alternative to traditional sliding mode control. Within this kind of algorithms, the SOSM Super-Twisting Algorithm (STA) allows to significantly reduce the control chattering (high frequency oscillations), through its continuous control action, while preserving conventional SMC's features of robustness and finite time convergence. However, in practical implementation, it is sometimes required to oversize the STA gains, in order to allow the system controller to deal with large, but commonly sporadic, disturbances. This situation produces an inevitable increment of control effort and, in consequence, and increment of control chattering. In this framework, in the present paper the stability analysis and validation of an adaptation mechanism for the Super-Twisting Algorithm are developed. It is based on the zero crossing gain adaptation approach developed by Pisano el al. for systems of relative degree 2. Firtsly, the proposed algorithm is validated by simulation for its application on a power converter system. Then, the controlled system is implemented on a experimental 700W power platform. The results showed an important reduction of control chattering, and similar features of robustness, in comparison with the conventional Super-Twisting Algorithm. |
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