A Sliding Mode Controller Approach Based on Particle Swarm Optimization for ECG and Heart Rate Tracking Purposes
Abstract:
This paper aims to improve the design of two Sliding Mode Controllers (SMC); one of them based on a first-order model and the other one based on an integrating model. The proposed controllers are tuned using the PSO (Particle Swarm Optimization) algorithm in order to minimize performance indexes and improve transient characteristics. To show these are promising alternatives, they are compared to traditional PID controllers. The suggested controllers are applied for tracking purposes in cardiac models, yielding a satisfactory performance over an ECG and a variable heart rate reference, proven by lower ISE (Integral of Squared Error) and TVu (Total Variation of control effort) values.
Año de publicación:
2022
Keywords:
- SMC
- Heart models
- integrating systems
- Pso algorithm
- ECG tracking
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Sistema de control
Áreas temáticas:
- Cirugía y especialidades médicas afines
- Fisiología humana
- Métodos informáticos especiales