基于單片機(jī)的超聲波測(cè)距系統(tǒng)設(shè)計(jì)學(xué)士學(xué)位論文-資料下載頁

【導(dǎo)讀】傳感器技術(shù)是現(xiàn)代信息技術(shù)的主要內(nèi)容之一。信息技術(shù)包括計(jì)算機(jī)技術(shù)、通信技術(shù)。比如溫度傳感器、光電傳感器、濕度傳感器、超聲波傳感器、紅外傳感器、壓力傳感器等等，其中，超聲波傳感器在測(cè)量方面有著廣泛、普遍的應(yīng)用。以及一些工業(yè)現(xiàn)場(chǎng)例如：液位、井深、管道長(zhǎng)度等場(chǎng)合。因此研究超聲波測(cè)距系統(tǒng)的原。理有著很大的現(xiàn)實(shí)意義。對(duì)本課題的研究與設(shè)計(jì)，還能進(jìn)一步提高自己的電路設(shè)計(jì)水平，深入對(duì)單片機(jī)的理解和應(yīng)用。汛、水文、明渠、空間定位、公路限高等行業(yè)中。罐的液位、料位高度。點(diǎn)，因此在汽車倒車?yán)走_(dá)的研制方面也得到了廣泛的應(yīng)用。度的影響最為明顯。傳播速度進(jìn)行實(shí)時(shí)溫度補(bǔ)償。應(yīng)規(guī)律地增加，可有效解決該問題。發(fā)射超聲波時(shí)，超聲波換能器在驅(qū)動(dòng)脈沖結(jié)束后，會(huì)由于慣性繼續(xù)振動(dòng)，產(chǎn)生余振。余振期間，由于無法區(qū)分回波信號(hào)與余振信號(hào)，因此必須等余振停止或衰減到足夠小后，使物質(zhì)所受的壓力產(chǎn)生變化。由于聲波振動(dòng)引起附加壓力現(xiàn)象叫

　　

【正文】 ors have increased the 理工大學(xué)學(xué)士論文 35 gripper grab control of the difficulty and plexity. Linkage Transmission In addition to outside the tendon drive, another one is using the link transmission mode. Which is characterized by planar linkage transmission, the advantage of good stiffness, large output, load capacity, manufacturing easy, easy to get higher accuracy, the contact between the ponents can rely on geometric closed to achieve, better able to achieve multi species and the trajectory movement of the request, but the design is plicated. Other Transmission Gripper drive will rotate through the threaded into a linear motion, pull the drive and driven by a spring between the fingers Finger generate action, the finger part adopts lever connected to each finger movements independent of each other, with a variety of crawling configuration, and the other multifingered hand pared to drive more flexible, but the longer the closing finger, the finger structure is relatively plex and prone to failure. Artificial Muscle Drive Hydraulic drive and pneumatic drive rise in recent years as an important drive, is to simulate a human muscle drive, due to material and technical constraints, these artificial muscle technology is still far from satisfying the robot gripper reliable, fast, and accurate capture function. Shape Memory Alloy Drive In addition to hydraulic and pneumatic driven gripper outside, there is a shape memory alloy drive gripper. There are four fingers, each finger need 12 drives. Characterized by load capacity, but there fatigue and life issues, finger reaction rate is not high. owe Drive Advances from the robot gripper, the multifingered robot hand is still the most studied, but based on multifingered dexterous hand tendons and pulleys (or hose) transmission mode causes output is small, the load capacity is poor, control plexity, restricted robots in the service of its application. Despite the use of some new technologies, such as linear motors, etc., but its fundamental drive and transmission mode has not changed, still unable to overe their weaknesses. For space robots, underactuated space robot gripper is an important research direction. By underactuated finger mechanism, mechanical limit to 理工大學(xué)學(xué)士論文 36 achieve unpowered joints and springs on the shape of the passive adaptive crawling with little driving element, grab a wide range of simple control, large output, load capacity and good features. Intelligence Biosensor Space robot gripper sensor is internal and external environmental information for the primary means to enrich the perception of the job is to raise the level o f robotics and autonomous capability necessary conditions. The study includes the selection and configuration of the sensor, the new sensor design, multisensor integration and information integration. Configured on the gripper sensors include haptic and visual sensors, in addition to feel close to sensors, distance sensors. Visual and haptic space robot gripper is the most important information. General gripper handeye system will integrate and force sensor has a wealth of information through visual information can be obtained gripper global state, and signal processing and data fusion based on the results of the various parts of the gripper determine the current status and Reliable crawl. Autonomous robots crawl the study, mostly for visionbased control, such as visual positioning and servo. Work more representative Literature. But they do not work in the case of vision can not be adjusted online pose. Information Fusion and handling Today, in the development of intelligent robots is an important issue facing the unstructured environment in which the inaccuracy of the model and its own brings uncertainty. Resolve this uncertainty is the key to the development of intelligent sensing system. At the same time, enhance the robot in a plex environment is to improve the perception of the robot autonomy and adaptability of the main method. The processing of information is the sensing robot autonomously functioning of the most important conditions. Research and development of the robot, a key unresolved issue is the development of robotic sensing and perception systems needed to enable them to unknown plex environment in action. However, due to a variety of sensors are different in nature, their effectiveness both in time and space there are differences, which means that some traditional sensor integration and fusion method is not very suitable, for Bradley and Pradeep right Traditional 理工大學(xué)學(xué)士論文 37 Sensors made integrated approach is proposed to improve resolution and visual force concept of deposition so that the robot can be controlled in a different manner depending on the sensing module to toggle. crawl control and decisionmaking systems Stability crawl Research multifingered robot gripper crawl purpose is to explore the mechanism of human crawl and eventually developed a body of any shape can crawl, operation and use of tools to plete a variety of tasks crawl, crawl simulate the behavior of proposed staffing manpower. So far, the coordination of multifingered robot gripper operation and control technology can not meet the requirements of the operation fine, really practical from a certain distance. Crawl stability studies largely explore the mechanism of multifingered crawl, crawl subtle analysis of multifinger movements and forces, and stability analysis is the basic work grab control. Specific work is theoretical analysis, summed able to adapt to the general conditions of the algorithm. Planning and Decision Support System Autonomous grasp planning is based on a variety of sensor information gripper, and the host does not need to municate, independent planning and decision making. For example, special