• DocumentCode
    577034
  • Title

    Feedforward-feedback P-PID control of elbow joint angle for functional electrical stimulation: A simulation study

  • Author

    Shariati, Negin Hesam ; Maleki, Ali ; Fallah, Ali

  • Author_Institution
    Biol. Syst. Control Lab., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    27-29 Dec. 2011
  • Firstpage
    156
  • Lastpage
    161
  • Abstract
    Functional electrical stimulation (FES) is the most commonly used system for restoring functions after spinal cord injury (SCI). In this study, we used a combined feedforward-feedback PID controller for regulating the elbow joint angle. Feedforward controller is unable to make corrections if the actual angle deviates from the desired angle. Feedback controller monitors the system output, so it can correct the error. So, a combination of feedforward and feedback control is the prefered control method in FES system designs. The controller was tuned using a model contains one joint, two links with one degree of freedom and two muscles in the sagital plane which simulated in MATLAB using SimMechanics and Simulink Toolboxes. The muscle model is based on Zajac musculotendon model. At First, the P-PID coefficients were tuned with error and effort, and then a genetic algorithm (GA) was used to optimize them. The controller optimized by GA is much better in terms of the rise time and settling time and has no overshoot and oscillation but the classical tuned controller response has a big overshoot and oscillations before getting the desired angle and has much less rise time and settling time. A comparison between the results of suggested controlling method and the results of genetic-PID feedback controller has been done. The results show that however the feedforward-feedback controller is better in terms of the rise time and the settling time, the feedback controller has less overshoot.
  • Keywords
    biology; feedback; feedforward; genetic algorithms; three-term control; FES system design; MATLAB; P-PID coefficients; SimMechanics; Simulink toolboxes; Zajac musculotendon model; elbow joint angle; feedforward feedback P-PID control; feedforward feedback PID controller; functional electrical stimulation; genetic PID feedback controller; genetic algorithm; muscle model; sagital plane; spinal cord injury; tuned controller response; Elbow; Genetic algorithms; Joints; Mathematical model; Muscles; Sociology; Statistics; Feedforward-Feedback; Functional Electrical Stimulation; Genetic Algorithm; PID Controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
  • Conference_Location
    Shiraz
  • Print_ISBN
    978-1-4673-1689-7
  • Type

    conf

  • DOI
    10.1109/ICCIAutom.2011.6356648
  • Filename
    6356648