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The online control functions are usually organized in multilevels,

as already described. The knowledge base contains quantitative and qualitative knowledge. The quantitative part operates with analytic (mathematical) process models, parameter and state estimation methods, analytic design methods (e.g., for control and fault detection), and quantitative optimization methods. Similar modules hold for the qualitative knowledge (e.g., in the form of rules for fuzzy and soft computing). Further knowledge is the past history in the memory and the possibility to predict the behavior. Finally, tasks or schedules may be included. The inference mechanism draws conclusions either by quantitative reasoning (e.g., Boolean methods) or by qualitative reasoning (e.g., possibilistic methods) and takes decisions for the executive functions. Communication between the different modules, an information management database, and the man¨C machine interaction has to be organized. Based on these functions of an online expert system, an intelligent system can be built up, with the ability ¨Dto model, reason and learn the process and its automatic functions within a given frame and to govern it towards a certain goal.¡¬ Hence, intelligent mechatronic systems can be developed, ranging from ¡°low-degree intelligent¡¬ [13], such as intelligent actuators, to ¨Dfairly intelligent systems,¡¬ such as self-navigating automatic guided vehicles. An intelligent mechatronic system adapts the controller to the mostly nonlinear behavior (adaptation), and stores its controller parameters in dependence on the position and load (learning), supervises all relevant elements, and performs a fault diagnosis (supervision) to request maintenance or, if a failure occurs, to request a fail safe action (decisions on actions). In the case of multiple components, supervision may help to switch off the faulty component and to perform a reconfiguration of the controlled process.

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2.5

Concurrent Design Procedure for Mechatronic Systems The design of

mechatronic systems requires a systematic development and use of modern design tools. Design Steps Table 2.3 shows five important development steps for mechatronic systems, starting from a purely mechanical system and resulting in a fully integrated mechatronic system. Depending on the kind of mechanical system, the intensity of the single development steps is different. For precision mechanical devices, fairly integrated mechatronic systems do exist. The influence of the electronics on mechanical elements may be considerable, as shown by adaptive dampers, anti-lock system brakes, and automatic gears. However, complete machines and vehicles show first a mechatronic design of their elements, and then slowly a redesign of parts of the overall structure as can be observed in the development of machine tools, robots, and vehicle bodies. Required CAD/ //// CAE Tools

2.5»úµçÒ»Ì廯ϵͳµÄ²¢ÐÐÉè¼Æ³ÌÐòµÄ»úµçÒ»Ì廯ϵͳµÄÉè¼ÆÐèÒªÒ»¸öϵͳµÄÏÖ´ú

Éè¼Æ¹¤¾ßµÄ¿ª·¢ºÍʹÓ᣻úµçÒ»Ì廯ϵͳÉè¼Æ²½Öè±í2.3ÏÔʾÁËÎå¸öÖØÒªµÄ·¢Õ¹²½Ö裬¿ªÊ¼´ÓÒ»¸ö´¿´âµÄ»úеϵͳ£¬²¢µ¼ÖÂÒ»¸öÍêÈ«¼¯³ÉµÄ»úµçÒ»Ì廯ϵͳ¡£¸ù¾Ý»úеϵͳ£¬µ¥Ò»µÄ¿ª·¢²½ÖèµÄÇ¿¶ÈÊDz»Í¬µÄµÄ¡£¶ÔÓÚ¾«ÃÜ»úеÉ豸£¬Ï൱×ÛºÏÐԵĻúµçÒ»Ì廯ϵͳȷʵ´æÔÚ¡£µç×Ó»úеԪ¼þµÄÓ°Ïì¿ÉÄÜÏ൱´ó£¬Èç×ÔÊÊÓ¦×èÄáÆ÷£¬·À±§ËÀÏµÍ³ÖÆ¶¯Æ÷£¬³ÝÂÖºÍ×Ô¶¯Ëùʾ¡£È»¶ø£¬µÚÒ»¸öÍêÕûµÄ»úÆ÷ºÍ³µÁ¾ÏÔʾÁËËüÃǵÄÔªËØµÄ»úµçÒ»Ì廯Éè¼Æ£¬È»ºóÂýÂýµØÖØÐÂÉè¼ÆµÄÕûÌå½á¹¹²¿¼þ£¬ÔÚ»ú´²£¬»úÆ÷ÈË£¬³µÉíµÄ·¢Õ¹£¬¿ÉÒԹ۲쵽¡£ËùÐèµÄCAD // / // CAE¹¤¾ß

2.6 The computer aided development of mechatronic systems comprises:

1. constructive specification in the engineering development stage

using CAD and CAE tools,

2. model building for obtaining static and dynamic process models, 3. transformation into computer codes for system simulation, and 4. programming and implementation of the final mechatronic

software.

Some software tools are described in [31]. A broad range of

CAD/CAE tools is available for 2D- and 3D-mechanical design, such as Auto CAD with a direct link to CAM (computer-aided manufacturing), and PADS, for multilayer, printed-circuit board layout. However, the state of computer-aided modeling is not as advanced. Object-oriented languages such as DYMOLA and MOBILE for modeling of large combined systems are described in [31¨C33]. These packages are based on specified ordinary differential .2002 CRC Press LLC

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4¡£×îÖյĻúµçÒ»Ì廯Èí¼þµÄ¹æ»®ºÍʵʩ¡£

[31]ÃèÊöÁËһЩÈí¼þ¹¤¾ß¡£Ò»¸ö¹ã·ºµÄCAD / CAE¹¤¾ß£¬ÊÇ¿ÉÒÔÖ±½ÓÁ´½Óµ½CAM£¨¼ÆËã»ú¸¨ÖúÖÆÔ죩£¬ºÍPADS¶à²ãÓ¡Ë¢µç·°å²¼¾Ö£¬ÈçAUTO CAD£¬¶þάºÍÈýά»úеÉè¼Æ¡£È»¶ø£¬¼ÆËã»ú¸¨Öú½¨Ä£µÄ״̬²¢²»ÏȽø¡£ÃæÏò¶ÔÏóµÄÓïÑÔ£¬ÈçDYMOLAºÍÒÆ¶¯´óÐÍ×éºÏϵͳµÄ½¨Ä£ÃèÊö[31-33]¡£ÕâЩ°üµÄ»ù´¡ÉÏÖ¸¶¨µÄ³£Î¢·Ö·½³Ì0.2002 CRC³ö°æÉçÓÐÏÞÔðÈι«Ë¾

TABLE 2.3 Steps in the Design of Mechatronic Systems

Precision Mechanical Mechanics Elements Machines Examples Sensors nsSuspensio Electric drives actuators sdamper combustion disc-storages ches clut engines cameras gears brakes mach. tools robots Pure mechanical system

1. Addition of sensors, actuators, microelectronics, control

functions

2. Integration of components (hardware integration)

3. Integration by information processing (software integration) 4. Redesign of mechanical system

5. Creation of synergetic effects Fully integrated mechatronic

systems

The size of a circle indicates the present intensity of the respective

mechatronic devel

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