Hottest simulation and control system assurance

2022-08-15
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The simulation and control system ensures the safety, system viability and time to enter the market, which is increasingly satisfied through the combination of simulation and simulation

when building a control system requires you to determine its working mode first, this seems to be a pair of contradictions, but it represents a considerable challenge. A few years ago -- when the industry was still immature -- you might first make a prototype, then test, modify, and then test. Today, people generally no longer use this method, which has the following three main reasons

first of all, building prototypes is both time-consuming and expensive. With today's accelerating development speed and the requirement for shorter market entry time, manufacturers rarely have the luxury of using this time-consuming technology

secondly, it is equally important that today's systems are generally too large or too small to easily produce a prototype. Application specific integrated circuits (ASICs) and other complex components are generally not immediately available for prototype manufacturing, so the prototype can not accurately achieve the expected final system performance

finally, building a prototype requires only one product, so it does not enable people to have a deep understanding of the challenges faced by formal production

fight in the same room

but what is the alternative? Today, companies are increasingly turning to a twin technology -- Simulation and simulation

although many people use the terms simulation and simulation alternately, there are still great differences between them. The demand for simulation of high-performance synthetic fiber materials using software is growing. To model a product or subsystem, engineers can first test various alternatives and improve the design to help manufacture or improve product performance. When the product is still in the stage of design and drawing, simulation can be regarded as a powerful tool, but it can only provide little benefit when the production starts, because although simulation can tell you what kind of performance the product should have, it can't tell you what kind of performance the product (or its special replica) has. Moreover, simulating a relatively complex control system may be a very time-consuming work in many cases, which further limits its applicability in the production environment

there are several key differences between simulation and simulation. According to Dennis Howe's "free computing dictionary", a system can be called simulating another system only when it runs in the same way (although it does not have to be at the same speed). Simulation is used to replace software and specific hardware to become a part of product architecture. It allows real-time testing of products or their subsystems, including the functions of control software. It can "stop the clock" so that engineers can view transient states that cannot have enough time to observe or measure during normal operation

the simulator (emulator) can map the whole design of the product to FPGA (field programmable gate array) or other customized programmable devices. Simulation settings can simulate several subsystems of the system under program control. In the production test process, these subsystems can be simulated respectively, and the complexity of the whole test process can be reduced by strictly limiting the scope of each test part. In addition, by using the simulator to hook the sample of signal ring disc contact with the "real" part of the product, engineers can observe the actual response of these signals to various software and hardware versions. This method can predict the performance of the product when it runs the actual control application, and the impact of modification and revision on the performance

combining simulation results with other software based simulations can further improve product design. Simulation is particularly useful for large-scale control systems, because manufacturers can debug them in the early stage of the product life cycle, which is better than manufacturing a prototype or full-scale working system for products, which can significantly shorten the product development cycle. Chip or equipment manufacturers often help users with technology integration by providing test or development tools with simulation or simulation functions, which is particularly useful for developing small systems

shortcut

in the trial production and initial manufacturing stage, even if some parts have not been produced in time, the whole product can be tested through simulation. When these components are manufactured (assuming they can work), they can be seamlessly "inserted" into the product with the least amount of work. The early feedback obtained from these points in the manufacturing process can help predict the on-site performance of the product, and at the same time, it can start faster on site with fewer accidents

advanced simulation system allows data to be input from the free running system (the system running at normal speed) without interrupting the operation of the system, which can improve the accuracy and effectiveness of the results. For example, the pcibus JTAG simulator based on scanning of Texas Instruments can help reduce the problem of "loss of visibility" caused by the increase of processor speed, that is, the simulator can test the control system without needle bed access to the printed circuit board of the control system, and without the line of sight visibility required in optical inspection

in addition, the simulation can also enable engineers to have a deeper understanding of the peripheral device control, data bus and other components residing in the on-board equipment of the system. In this case, it is almost impossible to track how the actual application is executed in the chip or find a data access test point. However, the simulator can transfer data to (or from) a managed development platform and target processor, download code, and "instantly" view complex data sequences, without sacrificing the full speed of the product

although most manufacturers have adopted simulation and simulation at some points in the development cycle, according to verity's white paper "testbench acceleration", a team can generally deal with only one of these technologies. A key issue of concern in simulation and simulation is the source of test and verification models

for example, the simulation team may use the random test vector created specifically for a certain step, but in order to provide the best and most accurate simulation picture that can reflect the product performance, they often use some stimulus sources collected and recorded in the "if that" simulation, or use some special test procedures or the "true" verification results, which should consider the temperature correction

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