Siemens 6DP1210-8CA Binary Module
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Siemens 6DP1210-8CA Binary Module Description:
Sales Manager: Sandy Lin
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Package: Original packing with cartons.
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AUTOMOTIVE COMPONENTS
Capricious consumer trends require manufacturing lines that are particularly flexible and able to create a variety of parts, or assemble several product lines without much alteration. As a result of this need for flexibility, manufacturing automotive components and assembling them is often the area in which robot-based automation can be seen at its best.
Intelligent manufacturing in the body shop aims to improve efficiency in casting parts. Forging a vehicle’s exterior parts like the fascia, bumpers and fuel tank, and producing interior parts like instrument panels, seats and air bags requiring very broad know-how and solutions based on robotics. Manufacturing the powertrain, chassis and the body of the vehicle also demands a great deal of precision.
Moore Automation Limited understands these requirements and works with car manufacturers to obtain the spare parts they need, as soon as possible. We specialise in identifying parts for machining, assembly, test, materials handling, safety and robot-based automation. We also offer a comprehensive and straightforward supply and repair service which can significantly reduce costs for your company.
Siemens 6DP1210-8CA Binary Module
Siemens 6DP1210-8CA Binary Module
Siemens 6DP1210-8CA Binary Module
Application
The LAG1ST function is used as a delay element for the process variable. This
can be used to suppress disturbances.
The LAG1ST Function
By incorporating a time delay, higher frequency fluctuations in the process variable
signal can be damped so that they are excluded from the processing in the control
algorithm in particular to avoid affecting the derivative action. The amount of signal
damping is determined by the time constant PV_TMLAG.
The damping effect is achieved by a first order time lag algorithm.
Conditions for Parameter Assignment
If PV_TMLAG ≤0.5 * CYCLE, there is no lag in effect.
A sampling time (CYCLE) of less than a fifth of the time lag is necessary to
achieve a time lag approaching the analog response.
Parameters of the LAG1ST Function
The outv output value is an implicit parameter and can only be monitored with the
configuration tool at measuring point MP5 (Figure 2-13).
If LAG1STON = FALSE, the peripheral input PV_PER or the internal input PV_IN
is switched to the process variable branch without a time lag (default).
Application
If the process variable supplied by a sensor is a physical value that is in a
quadratic relationship to the measured process variable, the changes in the
process variable must first be linearized before they can be processed further in
the controller. This task is performed by the SQRT function in the process variable
branch of the Standard PID Control. The measured signal must always be
linearized by extracting the square root when flow measurements are performed
with orifice plates or venturi tubes. The measured differential pressure (effective
pressure) is then proportional to the square of the flow.
If the SQRT_ON input signal is set to TRUE, the square root function is activated
in the process variable branch. The algorithm for the square root function is as
follows:
outv = SQRT (MP5) x (SQRT_HR – SQRT_LR) / 10.0 + SQRT_LR
This formula requires that the input value of the square-root be normalized to the
numerical range of 0 .. 100. The parameters NM_PVHR and NM_PVLR of the
normalization in the process-variable branch must therefore be configured to 100.0
and 0.0.
The square root from this value results in a numerical range of 0 ... 10. The
normalization values SQRT_HR and SQRT_LR are used to normalize this
numerical range to the physical measuring range (SQRT_LR to SQRT_HR).
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Siemens 6DP1210-8CA Binary Module was added in Jan 2018
Siemens 6DP1210-8CA Binary Module has been viewed 472 times
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