This paper presents a novel, smart and portable active knee rehabilitation orthotic device (AKROD) designed to train stroke patients to correct knee hyperextension during stance and stiff-legged gait (defined as reduced knee flexion during swing). The knee brace provides variable damping controlled in ways that foster motor recovery in stroke patients. A resistive, variable damper, electro-rheological fluid (ERF) based component is used to facilitate knee flexion during stance by providing resistance to knee buckling. Furthermore, the knee brace is used to assist in knee control during swing, i.e. to allow patients to achieve adequate knee flexion for toe clearance and adequate knee extension in preparation to heel strike. The detailed design of AKROD, the first prototype built, closed loop control results and initial human testing are presented here

This paper describes the development of an adaptive nonlinear PI torque control for electro-rheological fluid (ERF) based variable resistance brakes that are used in compact and portable rehabilitation devices. The electrorheologic fluid (ERF) brake concepts are introduced and previous work performed with a non-linear PI control on ERFs is tested and analysed. The response of ERF brake systems to this non-linear PI torque control, that utilizes an inverse model, is enhanced through the addition of two key components, a step logic function and an adaptable B-spline based algorithm. The description of each is provided along with tests verifying their effectiveness. In addition, the controller's response to disturbances is provided. The effectiveness of the control is validated through testing on two different electro-rheological fluid based brakes

This work aims to demonstrate the feasibility of using Electro-Rheological Fluid (ERF) actuators in orthotics, creating a new breed of rehabilitation devices. ERFs are fluids that experience dramatic changes in rheological properties, such as viscosity or yield stress, in the presence of an electric field. Using the electrically controlled rheological properties of ERFs, compact actuators with an ability to supply high resistive torques in a controllable and tunable fashion, have been developed. This study involves the design, fabrication and testing of an ERF based knee orthotic device and the innovative ERF actuators it uses. The knee orthotic is achieved through a standard brace design with a polycentric hinge and gear system. Coupled to this are two Flat-Plate ERF actuators, given that name for their characteristic set of parallel flat plates allowing for actuation of the fluid. A full model describing the field dependant torque output of these actuators is presented along with a full detailed description of the device design. The overall knee orthotic system is designed to resist up to 25.4% of an average human knee’s torque abilities and be controlled in real-time. The goal of this work is to provide a much more efficient means of rehabilitation over the average orthotic, while matching the proficiency of rehabilitation machines, all in a smaller, simpler, and more cost efficient design.

Force-feedback mechanisms have been designed to simplify and enhance the human-vehicle interface. The increase in secondary controls within vehicle cockpits has created a desire for a simpler, more efficient human-vehicle interface. By consolidating various controls into a single, haptic feedback control device, information can be transmitted to the operator, without requiring the driver's visual attention. In this work, the experimental closed loop torque control of electro-rheological fluids (ERF) based actuators for haptic application is performed. ERFs are liquids that respond mechanically to electric fields by changing their properties, such as viscosity and shear stress, electroactively. Using the electrically controlled rheological properties of ERFs, we developed actuators for haptic devices that can resist human operator forces in a controlled and tunable fashion. In this study, the ERF actuator analytical model is derived and experimentally verified and accurate closed loop torque control is experimentally achieved using a non-linear proportional integral controller with a feed-forward loop.

This research studied the optimal design of shape memory alloy (SMA) muscle wire bundle actuators. Current literature describes the use of multiple muscle wires placed in parallel to increase the lifting capabilities of an SMA actuator, which however, is limited to wires of like-diameter. A constrained optimization problem was formulated, with constraints on the maximum number of wires, voltage applied, and SMA bundle length and cross-sectional area, that explored the use of several different diameter wires for the development of an optimal SMA bundle actuator that will be able to apply maximum force. As a case study, the optimal design of SMA bundle actuators for the Rutgers robotic hand is presented.