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:

scopusscopus

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