77 research outputs found
Fuzzy sliding mode control of a multi-DOF parallel robot in rehabilitation environment
Multi-degrees of freedom (DOF) parallel robot, due to its compact structure and high operation accuracy, is a promising candidate for medical rehabilitation devices. However, its controllability relating to the nonlinear characteristics challenges its interaction with human subjects during the rehabilitation process. In this paper, we investigated the control of a parallel robot system using fuzzy sliding mode control (FSMC) for constructing a simple controller in practical rehabilitation, where a fuzzy logic system was used as the additional compensator to the sliding mode controller (SMC) for performance enhancement and chattering elimination. The system stability is guaranteed by the Lyapunov stability theorem. Experiments were conducted on a lower limb rehabilitation robot, which was built based on kinematics and dynamics analysis of the 6-DOF Stewart platform. The experimental results showed that the position tracking precision of the proposed FSMC is sufficient in practical applications, while the velocity chattering had been effectively reduced in comparison with the conventional FSMC with parameters tuned by fuzzy systems
Non-linear actuators and simulation tools for rehabilitation devices
Mención Internacional en el título de doctorRehabilitation robotics is a field of research that investigates the applications of
robotics in motor function therapy for recovering the motor control and motor capability.
In general, this type of rehabilitation has been found effective in therapy for
persons suffering motor disorders, especially due to stroke or spinal cord injuries. This
type of devices generally are well tolerated by the patients also being a motivation in
rehabilitation therapy. In the last years the rehabilitation robotics has become more
popular, capturing the attention at various research centers. They focused on the development
more effective devices in rehabilitation therapy, with a higher acceptance
factor of patients tacking into account: the financial cost, weight and comfort of the
device.
Among the rehabilitation devices, an important category is represented by the
rehabilitation exoskeletons, which in addition to the human skeletons help to protect
and support the external human body. This became more popular between the
rehabilitation devices due to the easily adapting with the dynamics of human body,
possibility to use them such as wearable devices and low weight and dimensions which
permit easy transportation.
Nowadays, in the development of any robotic device the simulation tools play an
important role due to their capacity to analyse the expected performance of the system
designed prior to manufacture. In the development of the rehabilitation devices,
the biomechanical software which is capable to simulate the behaviour interaction
between the human body and the robotics devices, play an important role. This
helps to choose suitable actuators for the rehabilitation device, to evaluate possible
mechanical designs, and to analyse the necessary controls algorithms before being
tested in real systems.
This thesis presents a research proposing an alternative solution for the current
systems of actuation on the exoskeletons for robotic rehabilitation. The proposed
solution, has a direct impact, improving issues like device weight, noise, fabrication
costs, size an patient comfort. In order to reach the desired results, a biomechanical software based on Biomechanics of Bodies (BoB) simulator where the behaviour of
the human body and the rehabilitation device with his actuators can be analysed,
was developed.
In the context of the main objective of this research, a series of actuators have
been analysed, including solutions between the non-linear actuation systems. Between
these systems, two solutions have been analysed in detail: ultrasonic motors
and Shape Memory Alloy material. Due to the force - weight characteristics of each
device (in simulation with the human body), the Shape Memory Alloy material was
chosen as principal actuator candidate for rehabilitation devices.
The proposed control algorithm for the actuators based on Shape Memory Alloy,
was tested over various configurations of actuators design and analysed in terms of energy
eficiency, cooling deformation and movement. For the bioinspirated movements,
such as the muscular group's biceps-triceps, a control algorithm capable to control
two Shape Memory Alloy based actuators in antagonistic movement, has been developed.
A segmented exoskeleton based on Shape Memory Alloy actuators for the upper
limb evaluation and rehabilitation therapy was proposed to demosntrate the eligibility
of the actuation system. This is divided in individual rehabilitation devices for
the shoulder, elbow and wrist. The results of this research was tested and validated
in the real elbow exoskeleton with two degrees of freedom developed during this thesis.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Eduardo Rocón de Lima.- Secretario: Concepción Alicia Monje Micharet.- Vocal: Martin Stoele
Development of a Wearable Mechatronic Elbow Brace for Postoperative Motion Rehabilitation
This thesis describes the development of a wearable mechatronic brace for upper limb rehabilitation that can be used at any stage of motion training after surgical reconstruction of brachial plexus nerves. The results of the mechanical design and the work completed towards finding the best torque transmission system are presented herein. As part of this mechatronic system, a customized control system was designed, tested and modified. The control strategy was improved by replacing a PID controller with a cascade controller. Although the experiments have shown that the proposed device can be successfully used for muscle training, further assessment of the device, with the help of data from the patients with brachial plexus injury (BPI), is required to improve the control strategy. Unique features of this device include the combination of adjustability and modularity, as well as the passive adjustment required to compensate for the carrying angle
Robotic Home-Based Rehabilitation Systems Design: From a Literature Review to a Conceptual Framework for Community-Based Remote Therapy During COVID-19 Pandemic
During the COVID-19 pandemic, the higher susceptibility of post-stroke patients to infection calls for extra safety precautions. Despite the imposed restrictions, early neurorehabilitation cannot be postponed due to its paramount importance for improving motor and functional recovery chances. Utilizing accessible state-of-the-art technologies, home-based rehabilitation devices are proposed as a sustainable solution in the current crisis. In this paper, a comprehensive review on developed home-based rehabilitation technologies of the last 10 years (2011–2020), categorizing them into upper and lower limb devices and considering both commercialized and state-of-the-art realms. Mechatronic, control, and software aspects of the system are discussed to provide a classified roadmap for home-based systems development. Subsequently, a conceptual framework on the development of smart and intelligent community-based home rehabilitation systems based on novel mechatronic technologies is proposed. In this framework, each rehabilitation device acts as an agent in the network, using the internet of things (IoT) technologies, which facilitates learning from the recorded data of the other agents, as well as the tele-supervision of the treatment by an expert. The presented design paradigm based on the above-mentioned leading technologies could lead to the development of promising home rehabilitation systems, which encourage stroke survivors to engage in under-supervised or unsupervised therapeutic activities
Biomechatronics: Harmonizing Mechatronic Systems with Human Beings
This eBook provides a comprehensive treatise on modern biomechatronic systems
centred around human applications. A particular emphasis is given to exoskeleton
designs for assistance and training with advanced interfaces in human-machine
interaction. Some of these designs are validated with experimental results which
the reader will find very informative as building-blocks for designing such systems.
This eBook will be ideally suited to those researching in biomechatronic area with
bio-feedback applications or those who are involved in high-end research on manmachine interfaces. This may also serve as a textbook for biomechatronic design
at post-graduate level
Design and implementation of a novel lightweight soft upper limb exoskeleton using pneumatic actuator muscles
Stroke is the leading cause of disability and weakness in the UK and around the world. Thus, stroke patients require an extensive rehabilitation therapy to regain some of the weaknesses. Many rehabilitation robotic devices have been designed and developed to assist the stroke patients to perform their activities of daily living and to perform repetitive movements. However, these devices remain unmanageable to use by the patients alone not only because they are cumbersome to use but also due to their weights, rigid, fix and non-portable characteristics. Thus there is a need to invent a novel exoskeleton soft arm that has a lightweight and a high power to rehab the elbow joint with lower cost and without the need to therapists. Here for elbow joint rehabilitation, we investigate and propose a novel exoskeleton soft robotic arm, which is wearable, lightweight and portable so that it would allow patients to perform repetitive motion therapy more often with a greater intensity in their homes and relevant to their Activities of Daily Living (ADL). The proposed arm consists of various bending pneumatic muscle actuators (pMA), where traditional pMA are not suitable. Testing on various pMA (traditional and bending) revealed its behaviour and the relationship between pressure, length, force, and bending angle in different setups such as isotonic and isometric. Experiments are done to analyse its non-linear behaviour, moreover, geometrical and numerical models are compared to the experimental results to validate the results. A developed control approach to control the soft arm is implemented to validate the design. Model reference adaptive control (MRAC) to control the arm using (Proportional, Integral, and Derivative) PID controller as an input for MRAC. Neural Network (NN) is also used in MRAC to improve the performance of MRAC
Bio-Inspired Robotics
Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensory–motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field
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