Our Mission

AIMotroniX stands for Augmented Intelligent Model-based electronic Control Systems. Our mission is to help engineers and managers to develop efficient and robust model-based control solutions and to establish transparent and efficient development processes.

We support many aspects around the development of model-based controllers. Our tech consulting service covers the setup of the process landscape and organization around model-based control systems. Our tech coaching activities incorporate direct support of your engineering teams on the technical level by teaching and coaching topics around methodology, setup and direct technical challenges. Finally, we also provide engineering services, where we develop functionalities or tools according to your needs.

What is Model-Based Controls?

Model-based controls in general refers to a methodology, where physical or empirical (also data-driven) models are used as integrated parts of a control system and/or its calibration and validation tool chain. The term control system refers to open-loop and closed-loop control functions, as well as diagnostic functions.

The main advantage of the model-based approach is the «design once, apply everywhere» philosophy: The core of a control functionality is the model. It needs to be developed once. Thanks to the usually physical modelling approach, the model can be easily adapted to all system variants in the portfolio by parameter tuning. In many occasions, both the topology and the parameters of the control system can be derived directly from the underlying model. So, at the end of the day, not only the model, but also the control system can be easily and efficiently tuned to different variants, mostly by use of simulation.

Full model-based control systems only need a deep and accurate calibration of the underlying model at the beginning and some fine-tuning and validation at the end on the physical system. Thus, 70-90% of the expensive and in some cases even prohibitive calibration work on the physical system can be avoided. On top, a full model-based approach allows a consistent controls and calibration landscape throughout all variations of your product. Hence, apart from the obvious advantages in terms of scalability and transferability, the entire development process becomes transparent and consistent, which is the key for a high-quality control system.

From a pure performance prospective, model-based controllers typically outperform traditional ones, where multivariable, robust, and predictive control approaches are used. Hence, the true power of model-based controls lies both in the improved performance of the control system and in the increased efficiency of the calibration process. Especially in environments, where the product portfolio consists of many variants of similar systems, model-based controls can bring about better performance along with shorter development times on the physical system, which results in a significant reduction of the development cost.