Short definition
Control algorithms are mathematical procedures for the automatic control and stabilization of process variables in technical systems. They continuously compare actual values with setpoint values and generate manipulated variables to minimize the control deviation. Classic algorithms include PID controllers (proportional-integral-differential), while modern systems also use fuzzy logic, model predictive control (MPC) or adaptive algorithms. In membrane filtration systems, they control critical parameters such as transmembrane pressure, flow rate, temperature and pH value with high precision and dynamics.
Functional principle
The control algorithm works in a closed loop. Control loopSensors record the actual value, the controller calculates the required control variable according to its algorithm and actuators implement it. PID controllers combine proportional response to actual deviations, integral components to eliminate permanent control deviations and differential components to dampen oscillations. The parameters are optimized by commissioning engineering or self-tuning functions. Modern PLC systems implement these algorithms as function blocks in real time, with sampling times in the millisecond range being typical.
Areas of application
Control algorithms are at the heart of every automated membrane filtration system. They ensure stable process conditions despite fluctuating feed quality, optimize energy consumption through demand-based pump control and protect membranes from damage caused by over- or underpressure situations. Cascade control systems enable the coordinated control of several dependent variables such as permeate flow and backwash pressure.
Typical areas of application:
- Transmembrane pressure control for crossflow filtration
- Flow control with frequency converter-controlled pumps
- Temperature control in thermally sensitive processes
- pH value control for dry cleaning (CIP)
- Concentration control through adaptive feed-forward control
Summary
Professionally parameterized control algorithms increase process stability, improve product quality and maximize membrane service life by avoiding critical operating states. They enable reproducible process control in accordance with GMP requirements and significantly reduce manual operating effort. For plant operators, they mean greater efficiency through optimized use of resources and minimized downtimes in automated filtration systems.
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