• Optimization
  • Controller Optimization

Controller optimation

What is automated control?

Automated control means that a system has a feedback with information regarding the system behaviour. In this case, the system’s reaction to a manipulated variable is directly monitored and evaluated by comparing this reaction with a setpoint. The controller’s structure and the values of the controller parameters are determined by the process to be controlled. The controller systems can be differentiated based on linearity, time variance, and the static and dynamic transmission behaviour. As a rule, the literature regarding the basics of controller technology is based on linear, time-invariant systems, since these are the only systems that can be managed with relatively simple mathematics.

Our services in this area include optimization of sensor technology, actuator technology, regulator structure and regulator parameters, as well as implementation of model illustrations of various process parameters. Studies have shown an enormous potential for cost reduction especially in the optimization of regulatory production processes.

 

There are various reasons for potential cost reduction:

  • Increase of production efficiency

  • Increase of product quality (fewer losses)

  • Smaller plant dimensions at the same projected output (realization only possible during the planning phase)

  • Reduction of required amount of additives at unchanged quality levels

  • Replacement of expensive constructive measures for the compensation of disturbance variables (environmental factors) with inexpensive software model

 

Application

We offer the following services for regulator optimization:

  • Replacement of control algorithms with regulators (see example pump-regulator coupling station)
  • Consideration of non-linearities through actuators or/and processes (e.g., neutralization)
  • Adjustment of actuator layout
  • Compensation of disturbance variables through modeling (e.g., temperature compensation)
  • Optimization of regulator parameters
  • Expansion of regulator structure with additional process information

As independent observers, we can inspect your processes with  “open eyes“, analyze them in an unbiased fashion and develop new solutions in collaboration with you. This is where ORmatiC’s “Time to Solution“ strategy comes in. We will analyze your process, develop new solutions with you and implement them. If required, we will also collaborate with your automation partners.

Regulation means that a system possesses a feedback loop with information about the system’s behavior. That means that the system’s reaction to any manipulated variable is monitored and evaluated directly by comparing this reaction to a preset nominal value. The determining factor for the regulator’s structure and the values of the regulator parameters is the process that needs to be regulated. Various routes can be distinguished, based on different criteria such as linearity, time variance, static and dynamic transfer behavior. The literature on the basics of regulator technology normally assumes a linear system with no time variance, since this is the only system that can be handled through relatively simply mathematical equations.