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...
详细信息
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 ...
详细信息
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 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...
详细信息
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.
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...
详细信息
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.
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...
详细信息
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.
To diagnose the specific reasons that lead to deterioration of controller performance and improve the diagnostic accuracy,a performance diagnosis method based on eigenvector subspace K-mean clustering is ***,the numbe...
详细信息
ISBN:
(纸本)9781538629185
To diagnose the specific reasons that lead to deterioration of controller performance and improve the diagnostic accuracy,a performance diagnosis method based on eigenvector subspace K-mean clustering is ***,the number of standard deterioration performance subspace with different degrees of deterioration information is increased on the basis of the eigenvector subspace distance diagnosis method,in which multiple distance values between eigenvector subspaces are ***,K-mean clustering is used to divide these distance values into two classes,and the clustering center with a maximum number of points is selected as the representative ***,current performance degradation factor is attributed to the category that represented by the nearest standard performance *** simulation,a double-tank model is established,and simulation result shows that average accuracy of controller performance diagnosis reaches 99.4%approximately.
Accurate short-term wind power prediction can improve the trade and the dispatch level of wind *** predict the short-term wind power,we investigated the empirical mode decomposition(EMD) of numerical weather predict...
详细信息
ISBN:
(纸本)9781538629185
Accurate short-term wind power prediction can improve the trade and the dispatch level of wind *** predict the short-term wind power,we investigated the empirical mode decomposition(EMD) of numerical weather prediction(NWP) and genetic algorithm(GA) optimization of support vector regression(SVR).First,the wind speed data from NWP is decomposed into the EMD components,including multiple intrinsic mode functions(IMFs) and one ***,a genetic algorithmsupport vector regression model(GA-SVR) is used to build models of all ***,the prediction results of all components are integrated,which as input of wind-power curve for obtain the predicted value of wind *** order to validate the proposed method,one real-world dataset was used for model training and testing,and the results show that the proposed method is more accurate and effective than SVR and back propagation neural networks(BPNN).
According to the hierarchical control system of sintering production process,a multi-layer performance assessment method is *** discuss the structure,function and technology used of multi-layer performance assessment ...
详细信息
ISBN:
(纸本)9781538629185
According to the hierarchical control system of sintering production process,a multi-layer performance assessment method is *** discuss the structure,function and technology used of multi-layer performance assessment strategy which is composed of sintering comprehensive coke ratio(CCR) assessment module,sintering ignition assessment module and fuzzy synthetic decision-making *** multi-layer performance assessment for sintering production process control system is realized based on sintering CCR prediction model,performance assessment method for sintering ignition control,and fuzzy synthetic evaluation *** proposed multi-layer performance assessment method is implemented on the simulation platform of the sintering production process in the laboratory,which effectively realized the performance assessment for sintering production process plant level control system,and then provides effective information for the staff to maintain the control system.
This paper presents a hybrid diagnosis and tuning method of coaxial cavity filter based on experience and *** method is based on the experience of skilled staff at the initial stage of tuning,and put the bandpass and ...
详细信息
ISBN:
(纸本)9781538629185
This paper presents a hybrid diagnosis and tuning method of coaxial cavity filter based on experience and *** method is based on the experience of skilled staff at the initial stage of tuning,and put the bandpass and echo curve of the filter to the frequency *** the second stages of the tuning,the phase shift is removed,which is caused by the transmission line and the higher order mode at first,then the loss factor of the filter is ***,we use the improved Cauchy method and filter synthesis knowledge to realize the coupling matrix ***,the implicit space mapping algorithm is used to establish the mapping relationship between the coupling matrix variation and the screw variation,in order to guide the tuning amplitude and direction by the coupling *** show that this method has better effects on saving tuning time and reducing tuning difficulties,and it has certain popularization value for the batch production of the filter.
This paper is concerned with the stabilization problem for T-S fuzzy system with interval time-varying delay. By constructing a novel augmented LKF and using a developed reciprocally convex matrix inequality proposed ...
详细信息
ISBN:
(纸本)9781538629185
This paper is concerned with the stabilization problem for T-S fuzzy system with interval time-varying delay. By constructing a novel augmented LKF and using a developed reciprocally convex matrix inequality proposed in this paper to bound the derivative of the LKF, a delay-dependent stabilization condition based on parallel distributed compensation scheme is worked out for the closed-loop fuzzy system. Two numerical examples and an application to control of a truck-trailer are given to illustrate the effectiveness of our method.
暂无评论