A simple fuzzy controller for robot manipulators with bounded inputs

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

This paper revisits the problem of global asymptotic regulation for robot manipulators with bounded inputs. A simple model-free sectorial fuzzy controller plus saturated integral action is proposed. Global asymptotic stability is proven following Lyapunov's direct method. Advantages of the proposed control are that it is fairly easy to construct with simple intuitive structure and absence of modeling parameter, and thus it is ready to implement. An additive appealing feature is that the proposed control has the abilities to protect the actuator from control effort saturation and ensure global asymptotic stability. Simulations on a two-DOF robot demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
Number of pages6
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date21.08.2017
Pages1737-1742
ISBN (print)9781509059980
ISBN (electronic)9781509059980
DOIs
Publication statusPublished - 21.08.2017
EventIEEE International Conference on Advanced Intelligent Mechatronics 2017 - München, Germany
Duration: 03.07.201707.07.2017
Conference number: 15
http://www.ieee-ras.org/component/rseventspro/event/948-aim-2017-ieee-international-conference-on-advanced-intelligent-mechatronics
http://www.ieee-ras.org/component/rseventspro/event/948-aim-2017-ieee-international-conference-on-advanced-intelligent-mechatronics

    Research areas

  • Engineering - Asymptotic stability, Controllers, Flexible manipulators, Industrial robots, Intelligent mechatronics, Modular robots, Robot applications, Robots

DOI

Recently viewed

Publications

  1. Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems
  2. Anomaly detection in formed sheet metals using convolutional autoencoders
  3. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  4. Framework for setting up and operating biobanks
  5. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  6. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  7. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  8. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  9. Control of the inverse pendulum based on sliding mode and model predictive control
  10. Introducing a multivariate model for predicting driving performance
  11. Reading and Calculating in Word Problem Solving
  12. Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT
  13. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  14. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  15. Trajectory-based computational study of coherent behavior in flows
  16. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  17. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  18. XOperator - An extensible semantic agent for instant messaging networks