This article addresses the problem of Linear Active Disturbance Rejection control for a class of nonlinear mechanical input time delayed systems. To solve the problem, it is necessary to obtain a set of predictive lum...
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ISBN:
(纸本)9781479901890
This article addresses the problem of Linear Active Disturbance Rejection control for a class of nonlinear mechanical input time delayed systems. To solve the problem, it is necessary to obtain a set of predictive lumped disturbance estimations, which is carried out by a purely linear high gain observer of Extended Luenberger type, denoted as a Generalized Proportional Integral (GPI) Observer. This task is performed using an approximation of the predictive disturbance using a truncated Taylor series expansion, where the set of necessary values for the estimation are provided by the observer. Once the (approximate) disturbance canceling is made, the control task is reduced to a simple linear Smith Predictor PD control, using the simplified model of the mechanical system. Some experimental results show the effectiveness of the strategy in a trajectory tracking task for a perturbed flywheel.
It is necessary to study the dynamic characteristics of the structure of processing shaft cascade in high speed and high precision PCB drilling machine because of its great impact on the drilling precision. As a basic...
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Maintaining postural balance is a fundamental requirement for humanoid robots faced with unknown terrain or external perturbations. In this paper we present an observer-based balancing control strategy that is robust ...
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ISBN:
(纸本)9781479927456
Maintaining postural balance is a fundamental requirement for humanoid robots faced with unknown terrain or external perturbations. In this paper we present an observer-based balancing control strategy that is robust to persistent perturbations on the ground slope which is based on the estimation of the disturbance without the need for an inertial measurement unit. We use the workspace control method in combination with an observer to perform specific maneuvers while maintaining postural balance. We employ a linear observer, a gain-scheduling observer and an extended Kalman filter and compare the results obtained. For the control task considered, while the linear observer falls short in this setting, both the gain-scheduling observer and the extended Kalman filter perform well, which is confirmed by experimental results on a planar biped robot.
Intelligent cane is a robot developed for assisting the elderly or handicapped people in walking. As a nursing-care device, the cane robot is designed to assist the elderly or handicapped people not only in indoor env...
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ISBN:
(纸本)9781479905089
Intelligent cane is a robot developed for assisting the elderly or handicapped people in walking. As a nursing-care device, the cane robot is designed to assist the elderly or handicapped people not only in indoor environments but also in outdoor environments. Therefore the cane robot is required to be smaller and lighter. In addition, it is preferred that the cane robot is movable in omni-directions so that it can be used in various situations. A concept called "intentional direction (ITD)" was proposed to estimate the user's walking intention by analyzing signals from a 6-axis force/torque sensor fixed to the handle of the aluminum stick. Admittance control method was applied to the motion control of the cane robot. In this paper, a new algorithm based on the usage and purpose of an ordinary cane is proposed. In the proposed algorithm, the cane robot is appropriately stopped to support the elderly more effectively. The effectiveness of the proposed method is verified through the experiments.
Serum was obtained from 25 male renal cell carcinoma(RCC) patients and 21 healthy males.O-glycans were released by a-elimination reaction and purified by graphitized carbon cartridge solid phase extraction,then profil...
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Serum was obtained from 25 male renal cell carcinoma(RCC) patients and 21 healthy males.O-glycans were released by a-elimination reaction and purified by graphitized carbon cartridge solid phase extraction,then profiled by matrix-assisted laser desorption/ionisation-time of flight mass *** noise removal and peak alignment,1372 peaks were extracted from 200000 data *** peaks were analyzed by calculation of differential sensitivity and *** combination of two feature peaks was chosen as a biomarker and could clearly differentiate RCC and normal samples in our study group.
This paper describes a novel mobility assistive device under development in the Egypt-Japan University of Science and Technology (E-JUST). The proposed system can help patients who do not have enough physical strength...
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This paper proposed a linearized model of intelligent pneumatic actuator (IPA) based on the linearization technique known as Taylor series expansion. First, nonlinear mathematical modeling for the IPA system according...
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ISBN:
(纸本)9781467357661
This paper proposed a linearized model of intelligent pneumatic actuator (IPA) based on the linearization technique known as Taylor series expansion. First, nonlinear mathematical modeling for the IPA system according to fundamental physical derivation is presented. Linearization is then introduced to linearize this nonlinear mathematical model. For the controller design, Neuro-Fuzzy Inference System (ANFIS) is proposed. ANFIS, which combines neural network and fuzzy logic, are adopted and applied to the linear mathematical model to perform position, force and viscosity controls. By training the correct data, membership functions for the fuzzy logic can be obtained through ANFIS toolbox in MATLAB. Closed-loop control for IPA system is conducted and performance the Proportional-Integral (PI) ANFIS controller is analyzed and compared with conventional PI controller. Simulation results show that PI ANFIS controller performed better than conventional PI controller in terms of position, force tracking and viscosity control.
Localization is the crucial problem for mobile robot navigation. For indoor mobile robot, since a global positioning system (GPS) is incapable, another promising technique to detect the position is the received signal...
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Localization is the crucial problem for mobile robot navigation. For indoor mobile robot, since a global positioning system (GPS) is incapable, another promising technique to detect the position is the received signal strength indicator (RSSI) from wireless communication. To improve the precision and robustness of mobile unit localization, an inertial measurement unit (IMU) is normally used. In this report, we propose the algorithm for mobile robot localization based on sensor fusion between RSSI from wireless local area network (WLAN) and an IMU. The proposed fusion scheme is based on the extended Kalman filter (EKF). The experiment is conducted by using mobile unit equipped with low-cost IMU and a wireless communication module together with access points to evaluate the performance of our algorithm, and the result is promising.
The paper is concerned with the control of doubly fed induction generator applied in wind power technology. Assuming stator flux oriented vector control, the torque and power relations are derived. Using the relations...
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The paper is concerned with the control of doubly fed induction generator applied in wind power technology. Assuming stator flux oriented vector control, the torque and power relations are derived. Using the relations, the slip versus torque and slip versus stator reactive power characteristics are drafted in subsynchronous and in supersynchronous state for investigating the control possibilities of the generator side converter supplying the rotor circuit. The effects of the d and q component of the converter output voltage for the torque, power and speed are studies in qualitative and quantitative way. The active and reactive power flows in stator and rotor side are shown.
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