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More than one million people are living with spinal cord injury (SCI) in North America alone. Restoring lost motor function can alleviate SCI-related health problems, as well as markedly increase the quality of life enjoyed by individuals with SCI. Functional electrical stimulation (FES) can replace motor function in individuals with SCI by using short electrical pulses to generate contractions in paralyzed muscles. A wide range of FES applications have been proposed, but few application are actually available for community use by SCI consumers. A major factor contributing to this shortage of real-world FES applications is the lack of a feasible closed-loop control algorithm. The purpose of this thesis is to develop a closed-loop control algorithm that is suitable for use in practical FES applications. This thesis consists of three separate studies. The first study examined existing closed-loop control algorithms for FES applications, and showed that a method of testing FES control algorithms under realistic conditions is needed to evaluate their likely real-world performance. The second study provided such a testing method by developing a non-idealities block that can be used to modify the nominal response of electrically stimulated muscle in simulations of FES applications. Fatigue, muscle spasm, and tremor non-idealities are included in the block, which allows the user to specify the severity level for each type of non-ideal behaviour. This nonidealities block was tested in a simulation of electrically induced knee extension against gravity, and showed that the nominal performance of the controllers was substantially better than their performance in the realistic case that included the non-idealities model. The third study concerned the development and testing of a novel observer-based sliding mode control (SMC) algorithm that is suitable for use in real-world FES applications. This algorithm incorporated a fatigue minimization objective as well as co-contraction of the antagonist muscle group to cause the joint stiffness to track a desired value. The SMC algorithm was tested in a simulation of FES-based quiet standing, and the non-idealities block was used to determine the probable performance of the controller in the real world. This novel controller performed very well in simulation, and would be suitable for use in selected practical FES applications. The work contained in this thesis can easily be extended to a wide range of FES applications. This work represents a significant step forward in closed-loop control for FES applications, and will facilitate the development of sophisticated new electrical stimulation systems for use by consumers in their homes and communities.

More than one million people are living with spinal cord injury (SCI) in North America alone. Restoring lost motor function can alleviate SCI-related health problems, as well as markedly increase the quality of life enjoyed by individuals with SCI. Functional electrical stimulation (FES) can replace motor function in individuals with SCI by using short electrical pulses to generate contractions in paralyzed muscles. A wide range of FES applications have been proposed, but few application are actually available for community use by SCI consumers. A major factor contributing to this shortage of real-world FES applications is the lack of a feasible closed-loop control algorithm. The purpose of this thesis is to develop a closed-loop control algorithm that is suitable for use in practical FES applications. This thesis consists of three separate studies. The first study examined existing closed-loop control algorithms for FES applications, and showed that a method of testing FES control algorithms under realistic conditions is needed to evaluate their likely real-world performance. The second study provided such a testing method by developing a non-idealities block that can be used to modify the nominal response of electrically stimulated muscle in simulations of FES applications. Fatigue, muscle spasm, and tremor non-idealities are included in the block, which allows the user to specify the severity level for each type of non-ideal behaviour. This nonidealities block was tested in a simulation of electrically induced knee extension against gravity, and showed that the nominal performance of the controllers was substantially better than their performance in the realistic case that included the non-idealities model. The third study concerned the development and testing of a novel observer-based sliding mode control (SMC) algorithm that is suitable for use in real-world FES applications. This algorithm incorporated a fatigue minimization objective as well as co-contraction of the antagonist muscle group to cause the joint stiffness to track a desired value. The SMC algorithm was tested in a simulation of FES-based quiet standing, and the non-idealities block was used to determine the probable performance of the controller in the real world. This novel controller performed very well in simulation, and would be suitable for use in selected practical FES applications. The work contained in this thesis can easily be extended to a wide range of FES applications. This work represents a significant step forward in closed-loop control for FES applications, and will facilitate the development of sophisticated new electrical stimulation systems for use by consumers in their homes and communities.

In this study a closed-loop cruise controller to minimise the running costs of the heavy-haul train is proposed. The running costs of a heavy-haul train are dependent on its travelling time, maintenance costs and energy consumption during the trip. The Coallink train with the new train technologies, Distributed Power (DP) traction and Electronically Controlled Pneumatic (ECP) brake system, is the centre of the study. A literature study on existing train control, both passenger and heavy-haul trains, is carried out to build up a knowledge base. Many different techniques for train handling were observed, their features in relation to heavy-haul ECP trains are discussed. From these backgrounds, a comprehensive longitudinal train model is proposed and successfully validated with real-life data from Spoornet. In the model, both static and dynamic in-train forces are studied, as well as energy consumption. This is possible by modelling each locomotive and wagon as an individual unit. The equations of motion for the train with coupled units and additional non-linearities, such as traction power limits, are considered. An open-loop controller for maintaining equilibrium velocity is designed. During transient velocity changes, a transient controller for calculating the required additional acceleration and deceleration is designed and validated. Because locomotive traction settings are only available in discrete notches, quantisation conversion from force into notches results in input chattering. In addition, during brake to traction transitions, the locomotives receive a sudden traction demand which results in spikes in in-train forces. To avoid these problems, input filtering is performed for these inputs. Closed-loop controllers based on LQR method, optimised for in-train forces, energy consumption and velocity regulation respectively, are designed and compared. To overcome the communication constraints, a fencing concept is introduced whereby the controller is reconfigured adaptively to the current track topology. Different train configurations in terms of availability of additional control channels for both traction and braking are compared, as well as their effects on dynamic and static in-train force. These configurations are unified, distributed and individual traction and brake controls. The results from these different configurations are compared to recorded train data and given in this study. From the results, it is found that the closed-loop controller optimised for in-train force is able to provide the best overall improvement out of the three controllers. / Dissertation (MEng)--University of Pretoria, 2007. / Electrical, Electronic and Computer Engineering / Unrestricted

Other than mobile hydraulics and high voltage switchgears, Bucher Hydraulics is also involved in the less-known area of hydraulic lifts. In fact, Bucher Hydraulics did invent the electronically controlled lift valve in the 1970s. Since then, Bucher Hydraulics developed a wide line of products for hydraulic elevators, such as valves and power units. In 2012, this valve family included various sizes, pressure ranges, systems with constant motor speeds, inverter-driven motors, energy-efficient solutions with hydraulic counterweight, as well as customized solutions. As the common principle, all these solutions apply an electronic closed-loop control that uses a volumetric flow sensor and a proportional actuator. Since 2012, Bucher Hydraulics is substituting this valve family with a new generation, the iValve. Every iValve uses several self-teaching algorithms to adapt to its environment. Their on-board and cabinet electronics control solenoid currents and measure flow, pressure, and temperature. These features enable the iValve to self-monitor, to adapt to operating parameters, and to analyze and log information about itself and the attached system. This report on a highly specialized product is meant to provide inspiring insights.