Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Design of car battery protection device based on torsion spring

In recent years, electric vehicles are developing rapidly in automotive industry. When involved in accidents, if the batteries of electric cars break, it is likely to cause a short circuit and start a fire. Aimed at this issue, a car battery protection device based on torsion spring has been designed. The car battery protection device can deform in a particular pattern in a collision accident. Impact energy of the accident is absorbed by the deformation, which can significantly reduce impact force on the batteries. Meanwhile, based on the principle of maximum energy absorption, some crucial parameters of the device can be determined. Furthermore, an impact simulation conducted on ANSYS software shows that maximum safety factors can be obtained when the material of car battery protection device is carbon steel. The analysis of “safe space” in the car battery protection device shows that the device can prevent battery damage effectively in general circumstances, which means the reliability of the device has been verified. Therefore, when applied to electric vehicles, the car battery protection device, which can prevent secondary accidents, significantly improves the vehicle security in accidents.     

土工格室在道路加筋和边坡防护上的应用

介绍土工格室在道路加筋和渠道防护中的应用和设计方法,并对土工格室的合理使用和选材提出了建议。     

船用多电机转子磁链电流模型仿真分析

针对大多数船用感应电机采用一台变频器控制一台电机,成本较高的问题,本文提出了用一台变频器控制两台电动机的方案,从而降低成本.首先以转子磁链的电流模型和单电机控制方法为基础,并利用Matlab中的Simulink软件构建了一台变频器控制两台并联异步电动机的模型.然后使用ODE45算法,对两台并联的异步电动机进行仿真分析....     

汽车企业知识产权管理建议

通过分析汽车企业知识产权管理现状,结合企业知识产权管理的基本内容和汽车企业知识产权管理的特点,提出汽车企业知识产权管理体系构建流程、构建难点以及构建要点。针对汽车产业的特殊性,给出知识产权管理在战略制定、基础管理和资源管理方面的建议,以期指导汽车企业以知识产权管理为支撑,做好知识产权高质量创造、高水平保护和高效益运用,赋能汽车产业发展。     

美国西海岸港口集装箱运输发展分析

美国西海岸港口承担了美国一半以上的集装箱运输量,其中大部分是美国与亚洲国家之间的贸易货物海运量,对我国等亚洲国家与美国间的国际贸易和集装箱海运有极其重要的影响。本文根据相关数据,分析美国西海岸港口集装箱运输的发展状况。     

港口危险化学品船车直取灌装作业安全控制

近年来,随着散装液体化工产品物流模式的变化,散装液体货物船车直取作业由于省略仓储环节、缩短在港时间,降低综合费用而越来越多地应用于港口装卸作业工艺。如何做到船车灌装作业安全,给港口危险化学品装卸安全控制提出了新的要求。1装卸作业前的控制港方安全部门对每次灌装业     

以集装箱多式联运运费最小为导向的干线港疏解模型分析

针对珠三角地区集装箱多式联运,从介绍集装箱多式联运通道的相关概念和理论入手,在分析珠三角地区集装箱多式联运发展现状和问题的基础上,综合考虑各种运输方式,利用目标函数C均值聚类的理论和方法,对珠三角地区集装箱多式联运货运站的布局进行了统一的规划和分析。而对公路、铁路、水路的运输费用函数则用回归分析的方法来拟合出近似方程,对珠三角及外部地区集装箱多式联运货运站的布局进行了统一的规划和分析。同时还提出了在进一步发展集装箱多式联运通道的过程中,需要改进和完善的方面,以及其方法和途径。     

港口集装箱传送分配系统的分类比较研究

港口集装箱装卸传输的工作效率是码头竞争力的核心,在不同的码头条件下,只有采用合适的集装箱装卸传输系统才能使作业效率达到最佳。基于这个目标,分别以系统构成、效率、优劣点、适用条件为考核标准,对现今港口集装箱装卸传输进行传统系统和新型系统的横向比较及分析,为因地制宜地采用合适的集装箱传输系统提供理论依据。     

基于能量回馈的RTG "油改电"研究

目前具有代表性的"油改电"方案有ZPMC的电缆卷盘式RTG方案[1]、低滑触线供电技术方案[2]以及高滑触线供电技术方案[3].