The polymer electrolyte membrane(PEM) fuel cell has been regarded as a potential alternative power source,and a model is necessary for its design,control and power management.A hybrid dynamic model of PEM fuel cell,...
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The polymer electrolyte membrane(PEM) fuel cell has been regarded as a potential alternative power source,and a model is necessary for its design,control and power management.A hybrid dynamic model of PEM fuel cell,which combines the advantages of mechanism model and black-box model,is proposed in this *** improve the performance,the static neural network and variable neural network are used to build the black-box *** static neural network can significantly improve the static performance of the hybrid model,and the variable neural network makes the hybrid dynamic model predict the real PEM fuel cell behavior with required ***,the hybrid dynamic model is validated with a 500 W PEM fuel *** static and transient experiment results show that the hybrid dynamic model can predict the behavior of the fuel cell stack accurately and therefore can be effectively utilized in practical application.
Robot football competitions have been popular currently accross the *** to challenge for the FIRA (Federation of International Robot-soccer Association) Robot World Cup,we are considering an
ISBN:
(纸本)9781479900305
Robot football competitions have been popular currently accross the *** to challenge for the FIRA (Federation of International Robot-soccer Association) Robot World Cup,we are considering an
That cycle-slips remain undetected will significantly degrade the accuracy of the navigation solution when using carrier phase measurements in global positioning system (GPS). In this paper, an algorithm based on le...
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That cycle-slips remain undetected will significantly degrade the accuracy of the navigation solution when using carrier phase measurements in global positioning system (GPS). In this paper, an algorithm based on length-4 symmetric/anti-symmetric (SA4) orthogonal multi-wavelet is presented to detect and identify cycle-slips in the context of the feature of the GPS zero-differential carrier phase measurements. Associated with the local singularity detection principle, cycle-slips can be detected and located precisely through the modulus maxima of the coefficients achieved by the multi-wavelet transform. Firstly, studies are focused on the feasibility of the algorithm employing the orthogonal multi-wavelet system such as Geronimo-Hardin-Massopust (GHM), Chui-Lian (CL) and SA4. Moreover, the mathematical characterization of singularities with Lipschitz exponents is explained, the modulus maxima from wavelet to multi-wavelet domain is extended and a localization formula is provided from the modulus maxima of the coefficients to the original observation. Finally, field experiments with real receiver are presented to demonstrate the effectiveness of the proposed algorithm. Because SA4 possesses the specific nature of good multi-filter properties (GMPs), it is superior to scalar wavelet and other orthogonal multi-wavelet candidates distinctly, and for the half-cycle slip, it also remains better detection, location ability and the equal complexity of wavelet transform.
In order to improve real-time performance of the fire controlsystem, a ballistic resolving method based on the improved particle swarm optimization (PSO) algorithm is proposed, which improves the response speed of th...
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In order to improve real-time performance of the fire controlsystem, a ballistic resolving method based on the improved particle swarm optimization (PSO) algorithm is proposed, which improves the response speed of the system and provides a convenient extension to parallel computing on multicore platforms. First, particles are generated and initialized around the pre-estimated aiming angle. Then each particle is evaluated by an objective function composed of the ballistic differential equation etc. Finally, the position and velocity of particle swarm are updated. In order to accelerate the convergence speed, the correction angle of the global best particle obtained by Zhou's iterative and correction formula is used to guide the update of particle swarm. Experimental results show that the calculation speed is twice that of the iterative and correction method, and the convergence speed of particle swarm is 1.5 times that of the conventional PSO algorithm. Moreover, the proposed method is fully compatible with parallel computing and can further shorten execution time on multicore platforms.
An implementation of adaptive filtering, composed of an unsupervised adaptive filter (UAF), a multi-step forward linear predictor (FLP), and an unsupervised multi-step adaptive predictor (UMAP), is built for sup...
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An implementation of adaptive filtering, composed of an unsupervised adaptive filter (UAF), a multi-step forward linear predictor (FLP), and an unsupervised multi-step adaptive predictor (UMAP), is built for suppressing impulsive noise in unknown circumstances. This filtering scheme, called unsupervised robust adaptive filter (URAF), possesses a switching structure, which ensures the robustness against impulsive noise. The FLP is used to detect the possible impulsive noise added to the signal, if the signal is "impulse-free", the filter UAF can estimate the clean sig- nal. If there exists impulsive noise, the impulse corrupted samples are replaced by predicted ones from the FLP, and then the UMAP estimates the clean signal. Both the simulation and experimental results show that the URAF has a better rate of convergence than the most recent universal filter, and is effective to restrict large disturbance like impulsive noise when the universal filter fails.
It is now well known that the time-varying sliding mode control (TVSMC) is characterized by its global robustness against matched model uncertainties and disturbances. The accurate tracking problem of the mechanical...
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It is now well known that the time-varying sliding mode control (TVSMC) is characterized by its global robustness against matched model uncertainties and disturbances. The accurate tracking problem of the mechanical system in the presence of the parametric uncertainty and external disturbance is addressed in the TVSMC framework. Firstly, an exponential TVSMC algorithm is designed and the main features are analyzed. Especially, the control parameter is obtained by solving an optimal problem. Subsequently, the global chattering problem in TVSMC is considered. To reduce the static error resulting from the continuous TVSMC algorithm, a disturbance observer based time-varying sliding mode control (DOTVSMC) algorithm is presented. The detailed design principle and the stability of the closed-loop system under the composite controller are provided. Simulation results verify the effectiveness of the proposed algorithm.
This paper aims to present an improved adaptive sliding mode control (ASMC) design for rigid spacecraft attitude maneuvers. An adaptive scheme is proposed for the switching gain calculation when the upper bound of the...
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This paper aims to address the robust control problem of rigid spacecraft attitude maneuvers in the presence of inertia matrix uncertainty and external disturbance. A back-stepping based adaptive sliding mode control ...
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A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is ne...
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ISBN:
(纸本)9781467303644
A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is necessary for protecting the patient and preventing the quality of the surgery. This paper presents the development of a collision and self-collision-detection scheme, for Maxillofacial Multi-arm Surgery Robot. The method is based on modeling the arm of Multi-arm robot and the obstacle in surgery environment by simple geometric primitives (cylinders and spheres). Methods of detecting collision about the cylinders and the spheres are introduced. By resorting to the pose of cylinder or sphere which presents in the workspace, many different types of collisions are introduced. The performance of the collision-avoidance scheme is demonstrated with Multi-arm robot via experiments.
Combined with modern imaging techniques and minimally invasive treatment techniques, microwave ablation surgeries have become one of the most effective methods in the modern comprehensive treatment of cancer. To solve...
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ISBN:
(纸本)9781467303644
Combined with modern imaging techniques and minimally invasive treatment techniques, microwave ablation surgeries have become one of the most effective methods in the modern comprehensive treatment of cancer. To solve the problems exist in traditional surgeries, microwave ablation surgical robot has been successfully developed. At first, this paper briefly introduces the robot auxiliary treatment process. Then analyzes the ultrasound-guided positioning system in detail. At last, the paper focuses on experimental research process such as robot localization experiment and precision experiment. The experimental results will verify the effectiveness of the robot system and the accuracy of the treatment. Meanwhile, the problems exist in the system are discussed and he future research direction is demonstrated.
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