Development history of real-time testing technology

Abstract: The information on the development history of real-time testing technology is provided by excellent flowmeter and flowmeter production and quotation manufacturers. Real-time test techniques involve the use of a real-time environment to implement test applications, which are primarily used to achieve higher reliability and/or determinism in test systems. Therefore, they play an important role in the development of many products and systems today. real time. For more flowmeter manufacturers to select models and price quotations, you are welcome to inquire. The following is the details of the article on the development process of real-time testing technology. Real-time test techniques involve the use of a real-time environment to implement test applications, which are primarily used to achieve higher reliability and/or determinism in test systems. Therefore, they play an important role in the development of many products and systems today. Use cases for real-time testing techniques include duration, life-cycle test systems, and other test systems that can run for long periods of time or allow operators to be away for extended periods of time, thus requiring a high level of reliability provided by a real-time operating platform. These also include environmental test cells, dynamometers, hardware-in-the-loop (HIL) simulators, and similar test systems operating with closed-loop control, which require low-time-jitter determinism for a real-time operating platform. By analyzing several real-time test (RTT) applications, we can see how they have evolved to meet the challenges facing test engineers today. Real-Time Test Techniques A common real-time test technique is to use closed-loop control to automate the manipulation of a physical variable in the test system, such as temperature, position, torque, or acceleration. For example, when implementing an environmental test system such as a pressure chamber, the test chamber must achieve a specified state in addition to providing a stimulus signal to the unit under test (UUT) and monitoring its response. Because chamber pressure is affected by many variables, such as chamber leakage or changes in UUT characteristics, test engineers use a closed-loop control algorithm to monitor pressure sensor values ​​and automatically adjust compressor and relief valve command signals to track those specified by the test protocol. pressure characteristic curve. To achieve this automatic control, the closed-loop controller measures the state of the system and adjusts the commands applied to it at deterministic time intervals. Figure 1. An RTT system such as this pressure chamber uses closed-loop control to automate the pressure conditions required for a test scenario. Another example is hardware-in-the-loop testing, a real-time test application used to more efficiently test electronic control systems. An electronic control system includes an electronic control unit (ECU) and the system or environment it controls. Figure 2 Hardware-in-the-loop (HIL) testing is a real-time testing technique that tests electronic control equipment by performing software simulations of missing system components. When testing electronic control systems, considerations such as safety, system availability, or cost make the It is impossible for us to use a complete system to perform all the desired tests. However, closed HIL simulation between the ECU and the rest of the system is a real-time testing technique that uses a software model of the rest of the system to simulate sensor and actuator interactions between the control unit under test and the rest of the system. This creates a virtual environment for the ECU, preserving the closed-loop coupling within the system. To accurately simulate sensor and actuator interactions, the test system must perform model calculations deterministically at consistent or deterministic time intervals. Evolution of RTT Systems As product and system complexity increases, so does the challenge of testing. To address these challenges, real-time test systems are converging, resulting in test systems that resemble combinations of multiple requirements that have previously emerged in different real-time test applications. This trend can be seen from the advent of model-based dynamometers. Typically, a dynamometer test system includes a suite of real-time test applications that use proportional-integral-derivative (PID) control algorithms to generate varying load and speed conditions for the unit under test. The test system will apply a static excitation characteristic curve to the PID controller and the unit under test to execute and verify the device. Model-based dynamometer systems are an evolution of traditional dynamometers that use models to implement advanced control algorithms and generate dynamic excitation characteristic curves for the test system. Engineers at Wineman Technologies ( ) implemented such a system in the form of a 6-wheel independent chassis dynamometer using National Instruments' RTT platform. To adequately test their vehicles, dynamometers need to be able to generate test conditions that simulate the handling of the vehicle on a variety of different terrains. For example, a model-based dynamometer must be able to implement a situation where two wheels are driving in snow, one wheel is sliding in mud, two wheels are rolling on loose gravel, and the other wheel is off the ground. In addition, the system must also simulate the transition of the wheels between different terrains while the vehicle is performing these maneuvers. To implement such a test system,Engineers must combine their experience building dynamometers and HIL simulators to create a traditional dynamometer test system with additional features that are more common in HIL test systems. Specifically, they added the ability to execute complex models deterministically so as to be able to generate dynamic excitations of six related speed/torque characteristic curves and achieve the advanced control needed to accomplish the above tasks.

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