
The closed-loop control system is first evaluated via computer simulations. Once the performance meets (or exceeds) specification, the feedback controller is used to control the actual system. This approach not only provides physical insight into the open-loop and closed-loop behavior of the system but can also be used to extract maximum performance from a given system.
Apart from its role in controller development, the physical model enables evaluation of design modifications to the system through computer simulations prior to any hardware modifications. In essence, we construct a virtual engineering environment where system designs are evaluated and optimized before expensive hardware is purchased or fabricated.
Our Model-Based Feedback Control Development Process provides for a systematic and seamless process for modeling, simulation, controller design and development. This approach enables us to extract maximum performance from complex multi-input, multi-output processes which have a high degree of interaction between various process inputs and outputs. Traditional single-input, single-output design approaches limit the level of performance that can be achieved in systems with strong coupling.