A simple tuning method for second-order active disturbance rejection control (ADRC) that achieves high performance and good robustness for a wide range of processes is presented. ADRC is a novel control strategy whose...
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A simple tuning method for second-order active disturbance rejection control (ADRC) that achieves high performance and good robustness for a wide range of processes is presented. ADRC is a novel control strategy whose exciting performance has been shown by literatures. The proposed method makes ADRC become easy to tune and more practical. Once the desired settling time is given, only one parameter need to be tuned during the design procedure, which can be found by monotonously increasing. Examples are given to show the effectiveness and flexibility of the method. Simulations demonstrate that second-order ADRC can handles processes with various characteristics, including low- and high-order, large dead time, non-minimum phase, unstable and distributed parameter systems.
To analyze the topographical distribution of visual evoked potentials (VEPs) in electroencephalographic (EEG) record brings about the significant information for visual processing in human brain. This study proposes a...
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To analyze the topographical distribution of visual evoked potentials (VEPs) in electroencephalographic (EEG) record brings about the significant information for visual processing in human brain. This study proposes a method for estimating topographical distribution of VEP from the separated power spectrum components by combining the models. VEPs with various temporal frequencies were recorded from nine healthy adults. Original power spectrum consisting of VEP, background activities, artifacts and other components were then obtained. To the extract the VEP components from the original power spectrum, models corresponding to background activities especially for posterior dominant alpha rhythm, low frequency component and high frequency component caused from electromyographic (EMG) artifact were constructed and those parameters were estimated. Finally, VEP components were calculated by subtracting those components from the original power spectrum. Topographical distribution of both first harmonic (1F) and second harmonic (2F) components of VEP were obtained by the proposed method. Estimated other components except VEPs were also investigated. Merits and usefulness of the proposed method were analyzed by comparing the conventional stimulus-locked averaging method in the time domain. Proposed method has several advanced points for conventional averaging method. Particularly, posterior dominant alpha rhythm and EMG artifact were directly taken into account in the VEP components estimation. Therefore, accurate estimation of VEP components can be done even if those components were contaminated with raw EEG. To obtain the topographical distribution of 1F and 2F components respectively is also possible.
Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulati...
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Ramp metering is an effective tool for traffic management on freeway networks. In this paper, we apply iterative learning control (ILC) to address ramp metering in a macroscopic-level freeway environment. By formulating the original ramp metering problem as an output regulating and disturbance rejection problem, ILC has been applied to control the traffic response. The learning mechanism is further combined with Asservissement Linéaire d'Entrée Autoroutière (ALINEA) in a complementary manner to achieve the desired control performance. The ILC-based ramp metering strategy and the modified modularized ramp metering approach based on ILC and ALINEA in the presence of input constraints are also analyzed to highlight the advantages and the robustness of the proposed methods. Extensive simulations are given to verify the effectiveness of the proposed approaches.
Continuous advancements and rapid developments of electronics, computing, network and web technologies have been much concerned in recent period of time. The emerging technologies including teleoperation, communicatio...
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ISBN:
(纸本)9784907764388
Continuous advancements and rapid developments of electronics, computing, network and web technologies have been much concerned in recent period of time. The emerging technologies including teleoperation, communication and control via web, visual servo control and so forth, have induced high motivation and demand towards the researchers who belong to conventional control and robotics. In this research, teleoperation and template matching techniques are applied to control the motion of industrial robot arms remotely via network. The system has two motion control behaviors;rough motion of the robot arm is handled by teleoperation technique and accurate motion is governed by visual template matching. Two behaviors are switched, from one to another appropriately according to the desired motion. The effectiveness of the proposed methodology is verified by the experimental results.
In this paper, iterative learning control (ILC) design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models (HOLM). An HOlM formulated as...
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In this paper, iterative learning control (ILC) design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models (HOLM). An HOlM formulated as a polynomial operator between consecutive iterations describes the changes of desired trajectories in the iteration domain and makes the iterative learning problem become iteration varying. The classical ILC for tracking iteration-invariant reference trajectories, on the other hand, is a special case of HOlM where the polynomial renders to a unity coefficient or a special first-order internal model. By inserting the HOlM into P-type ILC, the tracking performance along the iteration axis is investigated for a class of continuous-time nonlinear systems. Time-weighted norm method is utilized to guarantee validity of proposed algorithm in a sense of data-driven control.
Tasks important for a mobile robot are the environmental recognition and the obstacle avoidance in the real world. The legged robot can be adapted for rough terrains. It is because the legged robot has a high degree o...
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The geomatric errors in the precision stage have increased as the LCD pannel size increased. The yaw error of the gemometric error caused by geometric error between tandem motors is dominant error in the H type stage....
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ISBN:
(纸本)9780955308284
The geomatric errors in the precision stage have increased as the LCD pannel size increased. The yaw error of the gemometric error caused by geometric error between tandem motors is dominant error in the H type stage. The rotatable stage with flexure hinge mechanism can be thought to compenate the yaw error. This paper dedicated to determine dynamic modeling of roatatable stage. The geometric errors of the rotatable stage was analyzed by HTM(Homogeneous Transformation Matrix).
The goal of deterioration modeling is to support the decision on pro-active replacement of parts in components that have a shorter life cycle than the vehicle (commercial vehicle) itself. A method of deterioration mod...
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In this study, numerical solution procedures by an integral equation method are presented for the large deflection problem of an inclined cantilever by the elastica theory. Inclined cantilever with a load is analyzed ...
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