In the intelligent transportation systems (ITS) field, the number of applications that demand a high integrity positioning system is growing. In order to improve the integrity of localization systems, GPS is usually h...
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In the intelligent transportation systems (ITS) field, the number of applications that demand a high integrity positioning system is growing. In order to improve the integrity of localization systems, GPS is usually hybridized with additional proprioceptive sensors. In this paper, a new hybridization algorithm based on GPS plus odometry and a gyro is proposed as an improvement of the most common extended Kalman filter (EKF) approach. In concrete, these investigations focus on the performance of the system under bad initial conditions. Results show the suitability of the proposed system for navigation under bad initial values of heading, and its benefits as compared to two state-of-the-art methods of the literature: an EKF, and a particle filter based solution.
This paper considers identification of unknown parameters in elastic dynamic models of industrial robots. Identifying such models is a challenging task since an industrial robot is a multivariable, nonlinear, resonant...
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This paper considers identification of unknown parameters in elastic dynamic models of industrial robots. Identifying such models is a challenging task since an industrial robot is a multivariable, nonlinear, resonant, and unstable system. Unknown parameters (mainly spring-damper pairs) in a physically parameterized nonlinear dynamic model are identified in the frequency domain, using estimates of the nonparametric frequency response function (FRF) in different robot configurations/positions. The nonlinear parametric robot model is linearized in the same positions and the optimal parameters are obtained by minimizing the discrepancy between the nonparametric FRFs and the parametric FRFs (the FRFs of the linearized parametric robot model). In order to accurately estimate the nonparametric FRFs, the experiments must be carefully designed. The selection of optimal robot configurations for the experiments is also part of the design. Different parameter estimators are compared and experimental results show the usefulness of the proposed identification procedure. The weighted logarithmic least squares estimator achieves the best result and the identified model gives a good global description of the dynamics in the frequency range of interest.
Nonparametric estimation methods for the multivariable frequency response function are experimentally evaluated using closed-loop data from an industrial robot. Three classical estimators (H 1 , joint input-output, ar...
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Nonparametric estimation methods for the multivariable frequency response function are experimentally evaluated using closed-loop data from an industrial robot. Three classical estimators (H 1 , joint input-output, arithmetic mean) and two estimators based on nonlinear averaging techniques (harmonic mean, geometric/logarithmic mean) are considered. The estimators based on nonlinear averaging give the best results, followed by the arithmetic mean estimator, which gives a slightly larger bias. The joint input-output estimator, which is asymptotically unbiased in theory, turns out to give large bias errors for low frequencies. Finally, the H 1 estimator gives the largest bias for all frequencies.
Problems of fraud, theft, impersonation and counterfeiting have migrated into computing and digital communication technology. Reconfigurable computing (RC) (e.g., FPGA) systems blur the boundary between hardware and s...
Problems of fraud, theft, impersonation and counterfeiting have migrated into computing and digital communication technology. Reconfigurable computing (RC) (e.g., FPGA) systems blur the boundary between hardware and software. As reconfigurable computing systems become more popular, concerns arise about their security and privacy. Run-time partial reconfiguration provides the flexibility of hardware, but at the same time may compromise security and integrity of the embedded system design. This paper discusses potential threats to such systems and describes SeReCon, a secure reconfiguration controller, as a countermeasure. SeReCon supports intellectual property protection within the FPGA and provides secure run-time management of designs within FPGA. The fundamentals of the SeReCon trusted computing base are described. Various IP Block processing scenarios are proposed. Early implementation results are reported.
Bucky gel actuator is a novel electro-active polymer (EAP), which is a low-voltage driven dry soft actuator. In addition, the bucky gel device generates electromotive force when bending, and then it also can be used a...
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ISBN:
(纸本)9781424420575
Bucky gel actuator is a novel electro-active polymer (EAP), which is a low-voltage driven dry soft actuator. In addition, the bucky gel device generates electromotive force when bending, and then it also can be used as a sensor. Its device has a bimorph structure with polymer-supported bucky gel electrodes and a polymer-supported ionic gel electrolyte. It can be fabricated by layer-by-layer casting, to form any shape easily. In this paper, we demonstrate an automatic fabrication method of the bucky gel devices based on a printing method. By using a dispensing machine, we construct the printing system, and manual forming process is replaced with automatic printing. We investigate the printing of complicated shapes and 3D electrode pattern through experiments.
This paper investigates passivity based 3D dynamic visual force feedback control for fixed camera systems. In our approach, we can control not only the position but also the orientation of the robot hand with a contac...
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ISBN:
(纸本)9781424422241
This paper investigates passivity based 3D dynamic visual force feedback control for fixed camera systems. In our approach, we can control not only the position but also the orientation of the robot hand with a contact force by using visual information. The proposed method can be regarded as an extension of the hybrid position/force control to the hybrid vision/force control. The main contribution of this paper is to show that the 3D dynamic visual force feedback system has the passivity which allows us to prove stability in the sense of Lyapunov. Both the passivity of the manipulator dynamics and the passivity of the visual feedback system are preserved. Finally simulation results on 3 DOF planar manipulator are presented to verify the stability of the 3D dynamic visual force feedback system and understand our proposed method simply.
A benchmark problem for robust feedback control of a manipulator is presented. The system to be controlled is an uncertain nonlinear two link manipulator with elastic gear transmissions. The gear transmission is descr...
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A benchmark problem for robust feedback control of a manipulator is presented. The system to be controlled is an uncertain nonlinear two link manipulator with elastic gear transmissions. The gear transmission is described by nonlinear friction and elasticity. The system is uncertain according to a parametric uncertainty description and due to uncertain disturbances affecting both the motors and the tool. The system should be controlled by a discrete-time controller that optimizes performance for given robustness requirements. The control problem concerns only disturbance rejection. The proposed model is validated by experiments on a real industrial manipulator.
Feedback linearization is one of the major academic approaches for controlling flexible joint robots. This contribution investigates the discrete-time implementation of the feedback linearization approach for a realis...
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Feedback linearization is one of the major academic approaches for controlling flexible joint robots. This contribution investigates the discrete-time implementation of the feedback linearization approach for a realistic three-axis robot model. A simulation study of high speed tracking with model uncertainty is performed. It is assumed that full state measurements of the linearizing states are available. The feedback linearization approach is compared to a feedforward approach.
We propose robust adaptive control designs for a twin-rotor aircraft with specific focus on attaining good disturbance attenuation properties to facilitate operation in a shipboard environment wherein the aircraft is ...
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We propose robust adaptive control designs for a twin-rotor aircraft with specific focus on attaining good disturbance attenuation properties to facilitate operation in a shipboard environment wherein the aircraft is subject to severe aerodynamic disturbances including ship airwake, deck vortices, and rotor downwash especially during ship roll and pitch motions. Furthermore, the controllers can operate on their own or can gracefully co-exist with a baseline controller in a control augmentation fashion thus minimizing flight software change impact. The performance of the proposed controllers was validated through extensive simulation studies.
This paper presents a novel fault detection and isolation (FDI) architecture applied to the lateral-directional axis of an F-14 aircraft during powered approach to landing under sensor failures. The fault-tolerant arc...
This paper presents a novel fault detection and isolation (FDI) architecture applied to the lateral-directional axis of an F-14 aircraft during powered approach to landing under sensor failures. The fault-tolerant architecture employed is based on the so-called “Robust Multiple-Model Adaptive control” (RMMAC) and hence is referred to as “RMMAC/FDI”. The results demonstrate successful stability and performance of the RMMAC/FDI architecture.
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