Pulling machine (also known astensile testing machine）The measurement and control system is its core, which determines the accuracy of test data and the convenience of equipment operation.Below, I will summarize the analysis methods for you from the aspects of system composition, key parameter analysis, and performance optimization direction.

Pay attention to these measurement and control details

The analysis of the tensile machine system should focus on its measurement accuracy, control accuracy, and stability.

Key points of measurement system analysis

Load measurement: The core component is the load sensor, whose accuracy and stability directly determine the accuracy of force measurement. High precision sensors typically ensure0.02%The above accuracy. Pay attention to the overload capacity, temperature drift, and nonlinear error of sensors.

Deformation measurement: usually achieved through displacement sensors (such as photoelectric encoders) or extensometers. The photoelectric encoder is coaxially connected to the screw and calculates the displacement of the crossbeam through pulse counting. Attention should be paid to resolution when analyzing (such as24bitA/DConverter) and sampling frequency (such as200Hz）.

Displacement measurement: also relies on photoelectric encoders. Attention should be paid to the number of lines (pulses per revolution) in the encoder, which determines the displacement resolution. For example, some systems measure beam displacement by counting encoder pulses.

Key points of control system analysis

Servo Drive and Motor: Moderntensile testing machineAC servo motors are often used in conjunction with fully digital servo drives to ensure speed accuracy within the indicated value±0.5%Within. The performance of the motor directly affects the response speed and control smoothness.

Control algorithm: This is the control system's'brain'Besides the classic onesPIDIn some highly integrated systems, more advanced algorithms such as vector control and space vector control are also used for controlPWM（SVPWM）Technology to achieve more precise and stable control of motors.

Control unit and core hardware: Control system hardware is developing towards high performance and high integration. Early systems used microcontrollers orPLCNowadays, more advanced integration solutions will adopt more powerful onesDSP(such asTMS320F28335）OrARMCore microprocessor.

Software and Data Processing

Software is usually based onWindowsSystem platform development, providing a user-friendly interface.

The core functions include synchronous measurement and display of force values, deformation, and displacement, real-time display of test curves, and automatic calculation of material propertiesratedParameters such as test force, yield strength, tensile strength, elastic modulus, etc.

The data core often uses databases (such asAccess）CombiningSQLEfficient management and acquisition of language.

Performance optimization and transformation

For existing devices, performance can be improved through the following methods:

Upgrading of old equipment: high-precision load sensors, photoelectric encoders, and data acquisition systems based on microcontrollers can be installed on mechanical tensile machines, and modern measurement and control software can be used to make them approach the performance of new equipment.

Improve measurement accuracy: choose higher precisionADConverter (such as24bitAD）Design high-quality signal conditioning circuits and pay attention to sensor calibration.

Improving dynamic performance: At the control algorithm level, in addition to optimizationPIDParameters can also be introducedSmithAlgorithms such as estimators are used to compensate for the time lag of hydraulic systems, or a combination of feedforward control is employedPIDControl methods are used to improve response speed and anti-interference ability.