State estimation using a model subset and partial model inverse [DC motor control]

A new approach to state estimation is presented. Conditions for existence and a design technique are developed for linear systems. This new technique is compared to conventional full and reduced order observers via simulations in Matlab. As an example problem, a DC motor is chosen as the plant to represent a general electromechanical machine. From this basic model, nonlinearities in magnetics and saturation can be easily added to explore more complicated models. The new technique performs well for certain cases.