Nelinearno upravljanje s unutarnjim modelom za pogon s prekidačkim reluktantnim motorom bez oscilacija momenta

Based on the nonlinear internal-model control (IMC), associated with the suitable commutation strategy, a novel control solution for switched reluctance motor (SRM) is formulated and designed. The commutation strategy uses a definite critical rotor position as commutation point, which reduces the computational burden. The nonlinear IMC-based voltage control scheme for SRM extracts the simplicity of the feedback linearization control and the robustness of IMC structure, which ensures the torque ripple-free and the drive\u27s robustness in spite of the plant-model mismatch disturbances. Some important properties are presented. Simulation results show that the high-performance control for SRM has been achieved.Predloženo je i razrađeno novo rješenje za upravljanje sklopnim reluktantnim motorom (SRM) zasnovano na nelinearnom upravljanju s unutarnjim modelom (IMC) i prikladnoj strategiji komutacije. Strategija komutacije koristi definiranu kritičnu poziciju rotora kao točku komutacije što doprinosi smanjenju računskih zahtjevnosti. Shema za upravljanje naponom SRM-a zasnovana na nelinearnom IMC-u osigurava linearizaciju zatvorenog sustava i robusnost IMC strukture što rezultira ukupnom robusnošću pogona bez oscilacija momenta unatoč nepodudaranju modela smetnji sa stvarnim smetnjama. Opisana su neka važna svojstva ovoga načina upravljanja. Simulacijskim se rezultatima pokazuje visoka kvaliteta upravljanja SRM-a

Research on the Approach and Strategy of Traditional Logistics Enterprise Transformation Under the Context of the Internet

In order to study the approach and strategy of traditional logistics enterprises to transform to green logistics enterprises under the background of the Internet. In Sichuan province, 1,203 samples were taken and analyzed by SPSS data. Finally, the influence factors of consumers’ usage intentions are obtained. Based on the influence factors, the packaging and lines are designed to ensure the recycle. At the same time, the damage detection function of relevant magnetic stripe is used as auxiliary function, collecting the data information of consumers

Integrated Application and Improvement of Selection Method of Storage Sales Industry

In recent years, in order to adapt to the rapid development of the warehouse-storage sales industry and to solve the problems of location cost and efficiency and optimization of the methods of the new retail store, we have integrated and innovated the barycenter method and grey correlation method, and analyzed the grey correlation method with the weight obtained by the comprehensive analysis. In order to achieve the optimal cost effect, we choose the optimal solution from several alternative address schemes. It is found that using the integrated method as the reference standard for the location calculation of Warehouse Logistics Enterprises under the new retail background is helpful to improve the accuracy rate, and reduce the defects and defects caused by the independent use of the various methods, and adapt to the more practical and concrete conditions of the location selection of warehouse storage enterprises. At the same time, it is also an innovative attempt to cross discrete and continuous boundaries

Learning Meta Model for Zero- and Few-shot Face Anti-spoofing

Face anti-spoofing is crucial to the security of face recognition systems. Most previous methods formulate face anti-spoofing as a supervised learning problem to detect various predefined presentation attacks, which need large scale training data to cover as many attacks as possible. However, the trained model is easy to overfit several common attacks and is still vulnerable to unseen attacks. To overcome this challenge, the detector should: 1) learn discriminative features that can generalize to unseen spoofing types from predefined presentation attacks; 2) quickly adapt to new spoofing types by learning from both the predefined attacks and a few examples of the new spoofing types. Therefore, we define face anti-spoofing as a zero- and few-shot learning problem. In this paper, we propose a novel Adaptive Inner-update Meta Face Anti-Spoofing (AIM-FAS) method to tackle this problem through meta-learning. Specifically, AIM-FAS trains a meta-learner focusing on the task of detecting unseen spoofing types by learning from predefined living and spoofing faces and a few examples of new attacks. To assess the proposed approach, we propose several benchmarks for zero- and few-shot FAS. Experiments show its superior performances on the presented benchmarks to existing methods in existing zero-shot FAS protocols.Comment: Accepted by AAAI202

Analysis on the Influencing Factors of Transformation of Green Logistics Industry of Dangshan Pear Based on ISM

The state strongly advocates the construction of ecological civilization, which brings opportunities to the production and consumption of green products. The green stream of the development of the pear (sweet pear) is of great significance for the county in Suzhou city, Anhui province, which is a major economic crop. There are many disadvantages in the traditional pear logistics mode, and it is changing in the direction of green logistics. In this paper, the author USES the interpretation structure model (ISM) method to refine and analyze the factors affecting the development of green logistics of the pear, and summarizes the 12 influencing factors and their interrelationships through literature collection, data access and other methods, and establishes the Adjacency matrix and the Accessibility matrix, and constructs the Six-order interpretation structure model. Based on the analysis of the model, six suggestions are proposed to promote the development of green logistics transformation in Dangshan County, and provide references for the development of green agricultural logistics industry in Dangshan County and other areas in China

Two-dimensional Kagome-in-Honeycomb materials (MN4_4)3_3C32_{32} (M=Pt or Mn)

We propose two novel two-dimensional (2D) topological materials, (PtN$_4$)$_3$C$_{32}$ and (MnN$_4$)$_3$C$_{32}$, with a special geometry that we named as kagome-in-honeycomb (KIH) lattice structure, to illustrate the coexistence of the paradigmatic states of kagome physics, Dirac fermions and flat bands, that are difficult to be simultaneously observed in three-dimensional realistic systems. In such system, MN$_4$(M=Pt or Mn) moieties are embedded in honeycomb graphene sheet according to kagome lattice structure, thereby resulting in a KIH lattice. Using the first-principles calculations, we have systemically studied the structural, electronic, and topological properties of these two materials. In the absence of spin-orbit coupling (SOC), they both exhibit the coexistence of Dirac/quadratic-crossing cone and flat band near the Fermi level. When SOC is included, a sizable topological gap is opened at the Dirac/quadratic-crossing nodal point. For nonmagnetic (PtN$_4$)$_3$C$_{32}$, the system is converted into a $\mathbb{Z}_2$ topological quantum spin Hall insulator defined on a curved Fermi level, while for ferromagnetic (MnN$_4$)$_3$C$_{32}$, the material is changed from a half-semi-metal to a quantum anomalous Hall insulator with nonzero Chern number and nontrivial chiral edge states. Our findings not only predict a new family of 2D quantum materials, but also provide an experimentally feasible platform to explore the emergent kagome physics, topological quantum Hall physics, strongly correlated phenomena, and theirs fascinating applications.Comment: 6 figures. arXiv admin note: text overlap with arXiv:2207.0370