The accuracy of the displacement sensor is the main factor affecting the displacement measurement and azimuth positioning accuracy of automation equipment. The actual measurement error of mechanical equipment includes system error and random error, and the more the number of measurements, the error value may show a normal distribution around both sides of a certain average value.
The deviation between the average value and the policy measurement value can reflect the error size of the automation equipment system, and the discrete bandwidth reflects the random error of the automation equipment. In the field application, Tianmu advocates that some necessary methods can be adopted to reduce the error of the displacement sensor system and improve the control accuracy of the equipment.
Strengthening the scientific design of sensor structure and circuit, strictly controlling the process flow, and standardizing the installation and application of sensors can reduce the error of the displacement sensor system. It can also choose electrical compensation or software compensation to reduce the inductive error in the system measurement process. Error compensation is to artificially create a data equal to the measurement error and in the opposite direction to correct the system error and improve the control accuracy of the equipment. Because system errors are always greater than random errors, the choice of compensation methods can have a significant effect.
The electrical compensation method is to set up the corresponding gap compensation circuit and pitch compensation circuit in the control system to achieve the intention of error compensation. Commonly used circuit compensation methods include: analog circuits and digital circuits, such as: two-pole array squarer, various logarithmic, exponential, trigonometric operational amplifiers of digital control segmentation correction and nonlinear A/D conversion.
The software compensation method uses the calculation function of the computer to assist in compensation to eliminate measurement errors, which can include pitch accumulation error compensation, reverse void error compensation and thermal deformation error compensation. It can also compensate for accuracy errors caused by wear and tear based on the data measured and calculated at regular intervals. Because of its strong flexibility and the amount of compensation can be set freely, the software compensation method is the most widely used in the industrial automation measurement and control system.
Commonly used software compensation methods include accounting method and table lookup method. When there is a confirmed proportional relationship (or formula) between the output electrical signal of the sensor and the measured parameters, the accounting method can be used to compensate the measurement data of the automation system nonlinearly. That is, the formula programming of the sensor output signal and the measured parameters in the software, the measured parameters are directly entered into the accounting machine program for calculation after sampling, filtering and signal conversion, and the calculated data is the output data processed by the compensation method.
Sensor performance typically varies with temperature. In order to reduce the influence of temperature drift on the accuracy of the sensor, certain temperature compensation skills are often adopted. The common ones are: self-compensation method, parallel compensation method and feedback compensation method. The self-compensation skill is to use the temperature characteristics of the sensor's own parts to offset the influence of ambient temperature on the performance of the sensor. The parallel compensation skill is to connect a temperature compensation circuit in parallel on the main measurement component of the displacement sensor, so that the output signal of the sensor does not change with the change of temperature; The feedback compensation technique uses the principle of negative feedback to keep the characteristics of the sensor unaffected by changes in ambient temperature.
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