A position control strategy by employing the model reduction and the cascade transformation is proposed for a planar four-link AAPA (Active-Active-Passive-Active) underactuated manipulator in this paper. First, a dyna...
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A position control strategy by employing the model reduction and the cascade transformation is proposed for a planar four-link AAPA (Active-Active-Passive-Active) underactuated manipulator in this paper. First, a dynamics model of the system is built. Next, three controllers are designed based on the Lyapunov function to control the fourth active link from any initial angle to zero while the angles of the first and second active link remain their initial values, which makes the system is reduced to a planar virtual three-link AAP (Active-Active-Passive) underactuated manipulator. Then, we obtain the new inputs of the cascade system of the planar virtual three-link AAP underactuated manipulator. Finally, we can get the controllers of the active links to realize the system position control objective. Simulation results demonstrate the validity of the proposed control strategy.
To realize drilling visualization, an effective interpolation method is essential to construct three-dimensional model. Kriging is an effective interpolation method commonly used by geologists. However, the variogram ...
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To realize drilling visualization, an effective interpolation method is essential to construct three-dimensional model. Kriging is an effective interpolation method commonly used by geologists. However, the variogram model parameters in traditional Kriging have a certain subjectivity, which will influence the accuracy of interpolation. Quantum Genetic Algorithm (QGA) is introduced to optimize the variogram model parameters selection in this paper. Elevation values of boreholes are used as data sets for simulation. The results show that the proposed improved Kriging has a better prediction accuracy.
This paper presents a position control strategy based on the iterative method for a planar Pendubot. The control objective of the system is to move the end-point from any initial equilibrium point to a target equilibr...
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This paper presents a position control strategy based on the iterative method for a planar Pendubot. The control objective of the system is to move the end-point from any initial equilibrium point to a target equilibrium point. The presented method is based on the iterative steering, where a converging control law is applied repeatedly. In order to compute such a control law, the dynamic equations of the system are transformed via partial feedback linearization and nilpotent approximation. Finally, the simulation results demonstrate that the position control objective is realized by using this control strategy.
This paper presents a two-stage position control strategy based on the differential evolution (DE) algorithm for a planar second-order nonholonomic manipulator, which has one passive joint and this passive joint is no...
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This paper presents a two-stage position control strategy based on the differential evolution (DE) algorithm for a planar second-order nonholonomic manipulator, which has one passive joint and this passive joint is not the first joint (planar A m PA n manipulator for short, where m ≥ 1, n ≥ 0). An offline DE algorithm is used to calculate all link target angles corresponding to the target position. According to these target angles, a Lyapunov function is constructed to design the controllers A for the control stage 1, which are used to control all active links to their target angles. According to the constraint equation of the planar A m PA n manipulator, an oscillatory trajectory is planned for the first active link based on the online DE algorithm. When the first active link tracks the oscillatory trajectory, it will back to its target angle eventually. Meantime, the passive link will be jointly controlled to its target angle eventually. Then, the other Lyapunov function is constructed to design the controllers B for the control stage 2, which are used to control the first active link tracks the target trajectory and control the remaining m+n-1 active links maintain in their target angles. Simulation results of a planar AAPA manipulator demonstrate the effectiveness of the proposed control strategy.
The measuring instrument selects the network analyzer, combines the direct current source and the Helmholtz coil to form the GMI effect test system. PC program written in LabVIEW, network analyzer and DC current sourc...
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The measuring instrument selects the network analyzer, combines the direct current source and the Helmholtz coil to form the GMI effect test system. PC program written in LabVIEW, network analyzer and DC current source is controlled by the host computer. The host computer can process and plot the impedance data collected by the network analyzer, and save the data and images locally. The test system by measuring the commercial Vitrovac6025 strip material, found that the material all showed a strong GMI effect at different frequencies. By comparing the measured data of the network analyzer and the impedance analyzer measured in the same frequency band, we found that the two are consistent, which verifies the accuracy and reliability of the test system.
In order to study the cement hydration characteristics in the process of cement condensation, based on eddy current measuring technology and GMR (giant magnetoresistive sensor), it designed a non-contact cement-hydrat...
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In order to study the cement hydration characteristics in the process of cement condensation, based on eddy current measuring technology and GMR (giant magnetoresistive sensor), it designed a non-contact cement-hydration-characteristics measuring device. As an advanced nondestructive detection technology, Eddy current detection is convenient and non-contact. And GMR has high sensitivity and good linearity. Combining eddy current detection technology with GMR in design, it successfully gets rid of electrode polarization in traditional contact testing method, and greatly improves the accuracy of cement impedance measurement, and it effectively solves the collision problem that the excitation coil needs high frequency and the measure must have high sensitivity. The measuring device mainly includes magnetic field, GMR sensor, and STM32F427 micro-computer data acquisition system. The testing results show that the device has high precision, good repeatability.
This paper suggests a novel technique for the tool parameter measurement based on machine vision. Tool images are captured by using a machine vision system and the outer contour image of the cutter is obtained by usin...
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This paper suggests a novel technique for the tool parameter measurement based on machine vision. Tool images are captured by using a machine vision system and the outer contour image of the cutter is obtained by using the machine vision technology. The HALCON image processing library is used as the development platform to build the tool parameters test system. Several algorithms including image segmentation, edge extraction and fitting ellipse determination is used for image processing. The tool parameters such as external diameter and contour angle of tool edge can be obtained after rebuilding the contour of tool edge. The proposed scheme is shown to be reliable and effective for the automated tool parameter measurement.
In the ultrasonic nondestructive testing, the echo signal is polluted by noise and the signal-to-noise ratio is low. To solve the problem, a new wavelet thresholding function is introduced in this paper based on soft ...
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In the ultrasonic nondestructive testing, the echo signal is polluted by noise and the signal-to-noise ratio is low. To solve the problem, a new wavelet thresholding function is introduced in this paper based on soft and hard thresholding functions. Compared with the existing improved thresholding functions, the new thresholding function is simple in computation and continuous and easy to adjust, it is suitable for some kinds of mathematical disposals. The simulation results show that the new thresholding function can suppress the noise effectively, it is better than soft and hard thresholding functions and the existing improved thresholding functions and has high practical value.
In the process of deep geological resources exploration, there are often some complex stratigraphic situations. A three-dimension drilling trajectory is designed by using the geological environment data. The trajector...
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In the process of deep geological resources exploration, there are often some complex stratigraphic situations. A three-dimension drilling trajectory is designed by using the geological environment data. The trajectory should be sure that the target position is reachable. And it can avoid the area prone to be in an accident. In order to solve this problem, this paper discusses a three-dimensional wellbore trajectory design optimization model suitable for shale gas horizontal mining. Considering the wellbore stability and dogleg severity as constraints, the minimum drilling length is taken as the objective function. Depending on the Mohr-Coulomb criterion, the range of azimuth angle and inclination angle of safety trajectory can be determined. It can be seen as a constraint on the wellbore derrick segment. As for the optimization algorithm, bat algorithm (BA) optimizer combined with a penalty function method is applied to this optimization model. Finally, the case study shows that the BA performs well in the wellbore optimization design. It obtains the trade-off result between the safe and efficient drilling demands. And. it provides a basic model idea for the real-time trajectory optimization while drilling.
Adaptive Dynamic Programming(ADP) with critic-actor architecture is a useful way to achieve online learning *** algorithm Gaussian-Kernel Adaptive Dynamic Programming(GK-ADP) that has been developed before has a k...
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ISBN:
(纸本)9781538629185
Adaptive Dynamic Programming(ADP) with critic-actor architecture is a useful way to achieve online learning *** algorithm Gaussian-Kernel Adaptive Dynamic Programming(GK-ADP) that has been developed before has a kind of two-phase iteration,which not only approximates value function,but also optimizes hyper-parameters ***,just like most iteration algorithms are applied in practice,the scale of sample set will increase as the complexity of the system increases,and it will induce a high computation *** order to speed up computation,a practical acceleration method using parallel computation for GK-ADP is presented in this *** realize parallel computation,a high efficient configuration based on CUDA is designed,in which a group of GPUs work in parallel to compute the most complex part of *** comparison test illustrates that the computation burden which hinders GK-ADP’s application is reduced to a large extent when the parallel computing is introduced.
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