Hybrid intelligent active force controller for robot arms using evolutionary neural networks

• Main Authors: Hussein, S. B., Jamaluddin, H., Mailah, M., Zalzala, A. M. S.
• Format: Article
• Published: IEEE, Piscataway, NJ, United States 2000
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/7086/; http://ieeexplore.ieee.org/document/870284/
• Institution: Universiti Teknologi Malaysia

In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an...