6 research outputs found

    Evaluating the role of force feedback for biomanipulation tasks

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    Paper presented at the IEEE Virtual Reality, Haptics Symposium and Symposium on 3D User Interface, Alexandria, VA.Conventional cell manipulation techniques do not have the ability to provide force feedback to an operator. Poor control of cell injection force is one of the primary reasons for low success rates in cell injection and transgenesis in particular. Therefore, there exists a need to incorporate force feedback into a cell injection system. We have developed an automated cell injection system, which has the capability of measuring forces in the range of ΞΌN. We tested our system with 40 human subjects to evaluate the role of force feedback in cell injection task. Our experimental results indicate that the subjects were able to feel the cell injection force and confirmed our research hypothesis that the use of combined vision and force feedback leads to higher success rate in cell injection task compared to using vision feedback alone

    Hybrid intelligent machine systems : design, modeling and control

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    To further improve performances of machine systems, mechatronics offers some opportunities. Traditionally, mechatronics deals with how to integrate mechanics and electronics without a systematic approach. This thesis generalizes the concept of mechatronics into a new concept called hybrid intelligent machine system. A hybrid intelligent machine system is a system where two or more elements combine to play at least one of the roles such as sensor, actuator, or control mechanism, and contribute to the system behaviour. The common feature with the hybrid intelligent machine system is thus the presence of two or more entities responsible for the system behaviour with each having its different strength complementary to the others. The hybrid intelligent machine system is further viewed from the system’s structure, behaviour, function, and principle, which has led to the distinction of (1) the hybrid actuation system, (2) the hybrid motion system (mechanism), and (3) the hybrid control system. This thesis describes a comprehensive study on three hybrid intelligent machine systems. In the case of the hybrid actuation system, the study has developed a control method for the β€œtrue” hybrid actuation configuration in which the constant velocity motor is not β€œmimicked” by the servomotor which is treated in literature. In the case of the hybrid motion system, the study has resulted in a novel mechanism structure based on the compliant mechanism which allows the micro- and macro-motions to be integrated within a common framework. It should be noted that the existing designs in literature all take a serial structure for micro- and macro-motions. In the case of hybrid control system, a novel family of control laws is developed, which is primarily based on the iterative learning of the previous driving torque (as a feedforward part) and various feedback control laws. This new family of control laws is rooted in the computer-torque-control (CTC) law with an off-line learned torque in replacement of an analytically formulated torque in the forward part of the CTC law. This thesis also presents the verification of these novel developments by both simulation and experiments. Simulation studies are presented for the hybrid actuation system and the hybrid motion system while experimental studies are carried out for the hybrid control system

    A 3 DOF piezohydraulic parallel micromanipulator

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    The paper presents a new parallel micromanipulator that is composed of three piezohydraulic actuation systems. The basic elements of the actuation system are a piezoelectric actuator, a bellows and hydraulic oil. The use of the flexible bellows results in a new type of parallel structure, where the joints are integrated into actuator links. The joint-free tripod-like micromanipulator is controlled using a real-time control software that is based on a multi-level architecture. Control is organised in four levels for non-linearity compensation, position feedback control, supervision and tackling of automatic operations. The presented micromanipulator provides an exceptional combination of submicrometer resolution, large work space, miniature size and advanced control.Peer reviewe

    Position control of a 3 DOF piezohydraulic parallel micromanipulator

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    This paper focuses on the open-loop and closed-loop position control of a tripod-like joint-free parallel micromanipulator that is composed of three piezohydraulic actuation systems. The micromanipulator is controlled in open-loop using a general inverse kinematics model presented earlier for a tripod manipulator having ball and pin joints. Open-loop control is sufficient in many applications but when high accuracy and high speed are required, closed-loop control must be applied. The closedloop control of the micromanipulator is organized in multiple levels. The first level compensates non-linearities of the actuation systems and the second level controls the position of the end-effector. Level three is a supervisory level and level four tackles automatic operations. Level two, i.e. the position feedback controller, consists essentially of two single input/single output (SISO) proportional-integral (PI) controllers and an incremental form of the inverse kinematics model. The experimental results show that the position feedback control efficiently eliminates drift and vibration of the end-effector.Peer reviewe
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