Due to the absence of any satellite-based global positioning system on Mars, the Mars Exploration Rovers commonly track position changes of the vehicle using a technique called visual odometry (VO), where updated rover poses are determined by tracking keypoints between stereo image pairs. Unfortunately, the error of VO grows super-linearly with the distance traveled, primarily due to the contribution of orientation error. This thesis outlines a novel approach incorporating sun sensor and inclinometer measurements directly into the VO pipeline, utilizing absolute orientation information to reduce the error growth of the motion estimate. These additional measurements have very low computation, power, and mass requirements, providing a localization improvement at nearly negligible cost. The mathematical formulation of this approach is described in detail, and extensive results are presented from experimental trials utilizing data collected during a 10 kilometre traversal of a Mars analogue site on Devon Island in the Canadian High Arctic.

This thesis investigates the control of motion for a general class of vehicles that rotate and translate in three-space, and are propelled by a thrust vector which has fixed direction in body frame. The thesis addresses the problems of path following and position control. For path following, a feedback linearization controller is presented that makes the vehicle follow an arbitrary closed curve while simultaneously allowing the designer to specify the velocity profile of the vehicle on the path and its heading. For position control, a two-stage approach is presented that decouples position control from attitude control, allowing for a modular design and yielding almost global asymptotic stability of any desired hovering equilibrium. The effectiveness of the proposed method is verified both in simulation and experimentally by means of a hardware-in-the-loop setup emulating a co-axial helicopter.

Master of Science / Department of Mechanical & Nuclear Engineering / Dale Schinstock / This thesis describes the design, development, and initial testing of the Mobile Reduced Gravity Simulator (MoRGS). MoRGS is a hoist with active force control, to be used in terrestrial environments with human test subjects for the simulation of partial gravity or zero gravity environments. It is to be used with the subject performing activities while being harnessed to the hoist. The following work here describes the mechanical design, structural and dynamic analyses, simulations used to aid in the control design and component selection, the development of unique control algorithms tailored to the objectives and uncommon dynamics of MoRGS, and initial testing performed without the use of human subjects. Major components of the MoRGS system include: AC servo motor, gearbox, custom-designed drum, pneumatic muscle, load cell, and a microprocessor. The system is designed to track the motion of the test subject over several meters of vertical travel at speeds of up to 2 Gs of acceleration. This allows for high performance during subject’s physical tests, including running on a treadmill and a climbing ladder. It is capable of offloading 50 lb. to 600 lb. and the level of desired reduced gravity is programmable. Results from testing of the system demonstrate that MoRGS system achieves its goals. It performs well, and the sensitivity of the force controller enables it to compensate for the most minute human motion disturbance.

Doctor of Philosophy / Department of Computing and Information Sciences / Scott A. DeLoach / There is a growing demand for more effective integration of humans and computing systems, specifically in multiagent and multirobot systems. There are two aspects to consider in human integration: (1) the ability to control an arbitrary number of robots (particularly heterogeneous robots) and (2) integrating humans as peers in computing systems instead of being just users or supervisors. With traditional supervisory control of multirobot systems, the number of robots that a human can manage effectively is between four and six [17]. A limitation of traditional supervisory control is that the human must interact individually with each robot, which limits the upper-bound on the number of robots that a human can control effectively. In this work, I define the concept of "organizational control" together with an autonomous mechanism that can perform task allocation and other low-level housekeeping duties, which significantly reduces the need for the human to interact with individual robots. Humans are very versatile and robust in the types of tasks they can accomplish. However, failures in computing systems are common and thus redundancies are included to mitigate the chance of failure. When all redundancies have failed, system failure will occur and the computing system will be unable to accomplish its tasks. One way to further reduce the chance of a system failure is to integrate humans as peer "agents" in the computing system. As part of the system, humans can be assigned tasks that would have been impossible to complete due to failures.

No description available.

This thesis studies the Reach Control Problem (RCP) for affine systems defined on simplices. The thesis focuses on cases when it is known that the problem is not solvable by continuous state feedback. Previous work has proposed (discontinuous) piecewise affine feedback to resolve the gap between solvability by open-loop controls and solvability by feedbacks. The first results on solvability by time-varying feedback are presented. Time-varying feedback has the advantage to be more robust to measurement errors circumventing problems of discontinuous controllers. The results are theoretically appealing in light of the strong analogies with the theory of stabilization for linear control systems. The method is shown to solve RCP for all cases in the literature where continuous state feedback fails, provided it is solvable by open loop control. Textbook examples are provided. The motivation for studying RCP and its relevance to complex control specifications is illustrated using a material transfer system.

This Ph.D. thesis presents the design, modeling, optimization, prototyping, and experimental methodologies for a novel actuation system for the synchronized segmentally interchanging pulley transmission system (SSIPTS). The SSIPTS is an improved transmission which offers the combined benefits of existing transmission systems for the automotive, the power generation, and the heating, ventilation, and air conditioning (HVAC) industries. As a major subsystem of the SSIPTS, the Pulley Segment Actuation System (PSAS) plays a critical role in the SSIPTS operation and success. However, the overall design of the SSIPTS and its operation principle introduce very challenging and conflicting design requirements for PSASs that the existing actuation technologies cannot meet. To address the lack of actuation technologies for the PSAS application, this research proposes a unique actuation system that meets all the challenging design requirements of the PSAS. This new actuation system is based on the electromagnetic moving coil actuator (MCA) technology. The proposed system is conceptualized and modeled. The key parameters of the actuation system are defined following the conceptual design and modeling. Further, the geometry mapping optimization and the FEM analysis are conducted to determine the optimized values for the key design parameters. From the simulation results, the optimized actuator is shaped. Moreover, a proper control strategy is proposed for the motion of the actuator. Experiments are performed to find the empirical parameters of the actuator, to validate the proposed design, and to test the performance of the actuator. Experimental results show that the prototype of the actuation system meets the design requirements and is feasible for implementation in the SSIPTS. The main contribution of this thesis is to develop a highly efficient and reliable ultra fast bi-stable actuation system for the PSAS for the SSIPTS. As an ultra fast bistable actuation system, the designed actuation system has many advantages over other types of actuation systems: higher load capacity, smaller dimensions, and good controllability. These performance characteristics make the designed actuation system an excellent candidate in applications requiring fast transient response, high precision, and high load capacity such as electromagnetic valve actuators for engines, high speed pick and place, and precise positioning.

This Ph.D. thesis presents the design, modeling, optimization, prototyping, and experimental methodologies for a novel actuation system for the synchronized segmentally interchanging pulley transmission system (SSIPTS). The SSIPTS is an improved transmission which offers the combined benefits of existing transmission systems for the automotive, the power generation, and the heating, ventilation, and air conditioning (HVAC) industries. As a major subsystem of the SSIPTS, the Pulley Segment Actuation System (PSAS) plays a critical role in the SSIPTS operation and success. However, the overall design of the SSIPTS and its operation principle introduce very challenging and conflicting design requirements for PSASs that the existing actuation technologies cannot meet. To address the lack of actuation technologies for the PSAS application, this research proposes a unique actuation system that meets all the challenging design requirements of the PSAS. This new actuation system is based on the electromagnetic moving coil actuator (MCA) technology. The proposed system is conceptualized and modeled. The key parameters of the actuation system are defined following the conceptual design and modeling. Further, the geometry mapping optimization and the FEM analysis are conducted to determine the optimized values for the key design parameters. From the simulation results, the optimized actuator is shaped. Moreover, a proper control strategy is proposed for the motion of the actuator. Experiments are performed to find the empirical parameters of the actuator, to validate the proposed design, and to test the performance of the actuator. Experimental results show that the prototype of the actuation system meets the design requirements and is feasible for implementation in the SSIPTS. The main contribution of this thesis is to develop a highly efficient and reliable ultra fast bi-stable actuation system for the PSAS for the SSIPTS. As an ultra fast bistable actuation system, the designed actuation system has many advantages over other types of actuation systems: higher load capacity, smaller dimensions, and good controllability. These performance characteristics make the designed actuation system an excellent candidate in applications requiring fast transient response, high precision, and high load capacity such as electromagnetic valve actuators for engines, high speed pick and place, and precise positioning.

This thesis presents a geometric approach to studying kinematics, dynamics and controls of open-chain multi-body systems with non-zero momentum and multi-degree-of-freedom joints subject to holonomic and nonholonomic constraints. Some examples of such systems appear in space robotics, where mobile and free-base manipulators are developed. The proposed approach introduces a unified framework for considering holonomic and nonholonomic, multi-degree-of-freedom joints through: (i) generalization of the product of exponentials formula for kinematics, and (ii) aggregation of the dynamical reduction theories, using differential geometry. Further, this framework paves the ground for the input-output linearization and controller design for concurrent trajectory tracking of base-manipulator(s). In terms of kinematics, displacement subgroups are introduced, whose relative configuration manifolds are Lie groups and they are parametrized using the exponential map. Consequently, the product of exponentials formula for forward and differential kinematics is generalized to include multi-degree-of-freedom joints and nonholonomic constraints in open-chain multi-body systems. As for dynamics, it is observed that the action of the relative configuration manifold corresponding to the first joint of an open-chain multi-body system leaves Hamilton's equation invariant. Using the symplectic reduction theorem, the dynamical equations of such systems with constant momentum (not necessarily zero) are formulated in the reduced phase space, which present the system dynamics based on the internal parameters of the system. In the nonholonomic case, a three-step reduction process is presented for nonholonomic Hamiltonian mechanical systems. The Chaplygin reduction theorem eliminates the nonholonomic constraints in the first step, and an almost symplectic reduction procedure in the unconstrained phase space further reduces the dynamical equations. Consequently, the proposed approach is used to reduce the dynamical equations of nonholonomic open-chain multi-body systems. Regarding the controls, it is shown that a generic free-base, holonomic or nonholonomic open-chain multi-body system is input-output linearizable in the reduced phase space. As a result, a feed-forward servo control law is proposed to concurrently control the base and the extremities of such systems. It is shown that the closed-loop system is exponentially stable, using a proper Lyapunov function. In each chapter of the thesis, the developed concepts are illustrated through various case studies.

This thesis examines the use of multiple robots in cooperative simultaneous localization and mapping (SLAM), where each robot must estimate the poses of all robots in the team, along with the positions of all known landmarks. The robot team must operate under the condition that the communication network between robots is never guaranteed to be fully connected. Under this condition, a novel algorithm is derived that allows each robot to obtain the centralized-equivalent estimate in a decentralized manner, whenever possible. The algorithm is then extended to a decentralized and distributed approach where robots share the computational burden in considering different data association hypotheses in generating the centralized-equivalent consensus estimate.