Review of Active Disturbance Rejection Control-based Exoskeleton System
Nasir Ahmed Alawad*
Computer Engineering Department, Almustansiriyah, University, Iraq
*Corresponding Author: Nasir Ahmed Alawad, Computer Engineering Department, Almustansiriyah, University, Iraq.
November 23, 2021; Published: February 28, 2022
Stroke is a primary contributor to decreased ability to carry out activities of daily living. Understanding and refining rehabilitation therapies to target cortical neuron plasticity to enhance recovery of upper or lower limb function has been a major emphasis. To provide regulated and assisted mobility of the paretic limb, therapists have coupled traditional therapy with the use of mechanical and robotic equipment (Exoskeleton). The capacity to deliver higher degrees of intensity and repeatable repetitive task practice through the use of intervention devices is one of the most important mechanisms for improving rehabilitation efficacy. Active disturbance rejection control (ADRC) and it is an innovative design method. In the absence of suitable models and in the presence of model uncertainty, it has been recognized as an effective control method. In this short review, the speaking specially about ADRC as new trend for Exoskeleton control system.
Keywords: Robotic Exoskeleton; Rehabilitation; ADRC; Healthcare; Control Methods
- J Han. “From PID to active disturbance rejection control”. IEEE Transactions on Industrial Electronics3 (2009): 900-906.
- Zhiqiang Gao., et al. “An alternative paradigm for control system design”. in: Decision and Control, 2001, Proceedings of the 40th IEEE Conference on, 5 (2001): 4578-4585.
- Zhiqiang Gao. “Active Disturbance Rejection Control From an Enduring Idea to an Emerging Technology”. Proceedings of the 10th International Workshop on Robot Motion and Control, Poznan University of Technology, Poznan, Poland, July 6-8 (2015).
- Yi Huang and Wenchao Xue. “Active disturbance rejection control: Methodology and theoretical analysis”. ISA Transactions 53 (2014)/l963-976.
- Gao Z., et al. “A novel motion control design approach based on active disturbance rejection”. In: Proceedings of the 40th IEEE conference on decision and control, Orlando, FL, USA (2001): 4877-82.
- Hongyinping Feng., et al. “Active Disturbance Rejection Control: Old and New Results”. Annual Reviews in Control 44 (2017): 238-248.
- Md Mijanur. “Comparative study of ADRC and PID based Load Frequency Control”. Conference: Electrical Engineering and Information Communication Technology (ICEEICT) (2015).
- Pons J L. “Wearable Robots: Bio mechatronic exoskeletons” (2008).
- Bkekri R., et al. “Robust adaptive super twisting controller: methodology and application of a human-driven knee joint orthosis”. Industrial Robot: The International Journal of Robotics Research and Application (2019).
- S Mefoued. “A Second Order Sliding Mode Control and a Neural Network to Drive a Knee Joint Actuated Orthosis”. Neurocomputing 155 (2015): 71-79.
- Kashif I., et al. “RISE-based adaptive control for EICoSI exoskeleton to assist knee joint mobility”. Robotics and Autonomous Systems, Elsevier, In press (2019).
- Nycz CJ., et al. “Design and characterization of a lightweight and fully portable remote actuation system for use with a hand exoskeleton”. IEEE Robotics and Automation Letters 1 (2016): 976-983.
- Wu Q., et al. “Design and control of a powered hip exoskeleton for walking assistance”. International Journal of Advanced Robotic Systems 12 (2015): 18.
- Hyun DJ., et al. “Biomechanical design of an agile, electricity-powered lower-limb exoskeleton for weight-bearing assistance”. Robotics and Autonomous Systems 95 (2017): 181-195.
- Sankai Y. “Hal - Hybrid Assistive Limb Based on Cybernics”. In Robotics Research; Springer: Berlin/Heidelberg, Germany (2010): 25-34.
- Yana T., et al. “Review of assistive strategies in powered lower-limb orthoses and exoskeletons”. Robotics and Autonomous Systems 64 (2015): 120-136.
- Chen B., et al. “State-of-the-art research in robotic hip exoskeletons: A general review”. Journal of Orthopaedic Translation 20 (2020): 4-13.
- Vinodh KE., et al. “Comparison of four state observer design algorithms for MIMO system”. Archives of Control Science 23 (2013): 243-256.
- Li D., et al. “Fractional active disturbance rejection control”. ISA Transactions 62 (2016): 109-119.
- Viteckova S., et al. “Wearable lower limb robotics: A review”. Biocybernetics and Biomedical Engineering 33 (2013): 96-105.
- Long Y., et al. “Active disturbance rejection control based human gait tracking for lower extremity rehabilitation exoskeleton”. ISA Transactions 67 (2017): 389-397.
- Guerrero-Castellanos JF., et al. “Robust Active Disturbance Rejection Control via Control Lyapunov Functions: Application to Actuated-Ankle-Foot-Orthosis”. Control Engineering Practice 80 (2018): 49-60.
- Xun WQ., et al. “An exoskeleton joint output force control technology based on improved ADRC”. In Proceedings of the 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE), Shanghai, China, 29-31 December (2017): 146-150.
- Chen WH., et al. “Disturbance-observer-based control and related methods : An overview”. IEEE Transactions on Industrial Electronics 63 (2015): 1083-1095.
- Del-Ama AJ., et al. “Online assessment of human-robot interaction for hybrid control of walking”. Sensors 12 (2012): 215-225.
- Long Y., et al. “Robust sliding mode control based on GA optimization and CMAC compensation for lower limb exoskeleton”. Applied Bionics and Biomechanics 2016 (2016).
- Chen G., et al. “A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy”. Critical Reviews in Biomedical Engineering 41 (2013).