Designing and implementing complex control systems


West Pomeranian University of Technology, Szczecin

ul. Sikorskiego 37
70-313 Szczecin

Reference number

The Department of Control Engineering and Robotics (DCER) groups specialists skilled in designing and implementing complex control systems, specifically in:

  • modelling and simulation of processes;

  • identifying process model parameters;

  • synthesis of adaptive and predictive control algorithms in a single- and multivariable control systems in classical and resistant structures;

  • control systems design, including model-based design;

  • application of the most recent methods and computational techniques to design of monitoring and automatic control, implemented through programmable automation devices and manipulators;

  • meta-modelling of complex control systems, automatic code generation, functional safety issues;

  • classical and robotic (with DELMIA V5 Automation tools) control systems using distributed DCS/PLC/PAC latest generation automation systems.

The DCER staff’s achievements won national recognition in the form of automation branch awards and those granted at the International Fair in Poznań (Poland), including five Gold Medals: for an open CNC machine control system (2009), for a prototype micromilling machine with integrated diagnostic system (2011), in 2012 for implementation of thermal correction in feed-drive module control in a ballscrew driven CNC machine (2012), and for automated visual positioning of workpieces and the prototype five-axis milling centre called X-5 (2013).

The DCER research infrastructure includes facilities for hardware-in-the-loop testing of complex systems, possibility of implementing real-time hardware modules for control and condition monitoring tasks, software for component-based acausal modelling and simulation.

The expertise offered and cooperation sought concern a variety of measurement technologies used in a machine (internal systems) or with it (external systems) that are able to proactively anticipate the emerging need for servicing or repair. Some machines are poorly designed, some are poorly assembled, and some are poorly utilized, 40-50% of machine failures being due to poor maintenance. Machines break down because operators do not realise the scale of the impact they might have on the state of the machines. Changes in machine operational procedures allow to reduce the damage rate by 40-50%. In the last thirty years, machinery operating has been undergoing an evolution of a kind, from reactive maintenance (RM) to preventive maintenance (PM) to modern predictive maintenance (PdM) systems. The essence of the predictive approach is an attempt to estimate the time of next maintenance activity based on monitoring of equipment condition. The monitoring can be based on available measurement signals in control circuits, or can require additional measurements (e.g. vibrations, force measurements). PdM differs from PM (with fixed maintenance dates), as it has varied length of service intervals.

The expertise offered includes:

  • preparation of equipment and systems for industrial process automation, including performance reviews for innovative project proposals submitted to the European Union;

  • research and services in design and construction of programmable control systems of technological processes (control algorithms, hardware selection, diagnostics and visualization processes, application of artificial intelligence in automation systems);

  • training and courses in the design of distributed control systems of technological processes in PLC/PAC/FPGA programming, digital servo programming, diagnostics and visualization of processes, robot and CNC machine tool programming, and functional safety analysis and design.


We have experience in Framework Programmes as a partner.