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of individual plants throughout the<br />

entire complex.<br />

Dr. Bernhard Voglauer, managing<br />

control technician in the Lenzing Fibers<br />

technical planning department<br />

found himself confronted with just<br />

this back in 2006. In-house chemists<br />

developed and tested a completely<br />

new process in the laboratory, which<br />

proved to be effective. the goal now<br />

was to implement the results in a<br />

full-scale production system. Construction<br />

of the system was mostly<br />

finished and a general automation<br />

concept had already been created.<br />

even the decision for the process<br />

control technology which would be<br />

used had already been made. the<br />

automation engineers at Lenzing<br />

count on B&R's ApROL for this.<br />

Because the production processes<br />

in this sort of system are complex<br />

and are not entirely hazard-free due<br />

to the chemical processes used, it<br />

is common to build a so-called pilot<br />

system after lab testing and before<br />

construction of the full-scale<br />

system. the pilot system is used to<br />

test and optimize processes scaled<br />

down to kilograms, before they are<br />

applied to the full-scale system. It is<br />

not hard to see how this procedure<br />

can consume a good deal of investment,<br />

time and space. "this drove<br />

us to search for a solution that didn't<br />

require this cumbersome intermediate<br />

step," remembers Bernhard Vo-<br />

glauer. "It was clear that the unproductive<br />

time spent on optimization<br />

during the commissioning phase<br />

was not acceptable."<br />

Safety through simulation<br />

Bernhard Voglauer found the answer<br />

to this challenging task to be<br />

dynamic process simulation, in<br />

Application<br />

The production chain goes from the sustainable raw material wood to the finished fiber.<br />

which the entire production system,<br />

including all process data, is simulated<br />

as a computer model. In this<br />

way, optimization can be performed<br />

on a virtual system. Without production<br />

downtime, without substandard<br />

production and most importantly<br />

without endangering the workers,<br />

the machine or the environment.<br />

As a tool, mAtLAB ® /Simulink ® from<br />

the American manufacturer the<br />

mathWorks was an obvious choice.<br />

On the one hand, because it is a<br />

well-known simulation system used<br />

worldwide that, unlike the product<br />

used earlier by Lenzing Ag, can<br />

handle the required complexity. On<br />

the other hand, because code that is<br />

understood by B&R systems such as<br />

the ApROL process control system<br />

The savings achieved by shortening the<br />

commissioning time for large systems from<br />

weeks to days are enormous.<br />

can be generated directly from the<br />

simulation models.<br />

With respect to the expected benefits<br />

brought by dynamic simulation<br />

of production systems, Bernhard Voglauer<br />

says: "The economic benefits<br />

are a result of being able to start production<br />

at full capacity sooner, with<br />

“Through simulation with MATLAB ® /Simulink<br />

® we were able to shorten the commissioning<br />

time of a new production system to<br />

a minimum. The time saved and the problems<br />

avoided through virtual commissioning<br />

convinced even the toughest critics.“<br />

Dr. Bernhard Voglauer<br />

Managing Control Technician<br />

Faser Lenzing Technik Planung<br />

minimum time lost during commissioning."<br />

Predefined settings for PCS<br />

parameters such as operating points,<br />

limit values, closed loop control parameters,<br />

alarm limits, etc. also contribute<br />

to the control concept and<br />

operability as does the detection of<br />

errors/defects in the pCS programming.<br />

In addition, the plausibility of<br />

the process design can be checked,<br />

and acceptance by the system operators<br />

can be increased by providing<br />

training in advance and implementing<br />

impressive functionality, which is<br />

important for smooth operation.<br />

Over the course of three months and<br />

nearly 400 hours of work, a physical<br />

model and then the Simulink simulation<br />

model were created based<br />

on construction data, the process<br />

graphic, expert knowledge and the<br />

results of lab testing.<br />

the "hardware-in-the-loop" concept<br />

was used: the simulation model >><br />

<strong>automotion</strong> 07/2009<br />

53

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