Run-to-Run Indirect Trajectory Tracking Control of Electromechanical Systems Based on Identifiable and Flat Models
For electromechanical systems with unmeasurable outputs, this work provides a method to achieve trajectory tracking without direct position feedback.
The paper presents a control scheme for electromechanical systems where the primary output (position) cannot be measured, using an identifiable model and iterative parameter updates based on coil current measurements. Simulations on switching devices demonstrate effective position trajectory tracking.
Differentially flat models are frequently used to design feedforward controllers for electromechanical systems. However, control performance depends on model accuracy, which makes feedback imperative. This paper presents a control scheme for electromechanical systems in which measuring or estimating the output to be controlled -- typically the position -- is not feasible. It employs an identifiable-model-based controller and predictor, coupled with an iterative loop that updates model parameters using the error between a measurable output and its prediction. Simulations on electromechanical switching devices show effective tracking of the desired position trajectory using only coil current measurements.