Drive system loss minimizing trajectories using constrained non-linear optimization

In various industry applications position controlled electrical drive systems fulfill rest-to-rest motions. The control systems reference position is given by trajectories. As the trajectories have an influence on the energy losses of the components, an optimized trajectory leads to a loss minimization of the system. Therefore, by using the loss models of the mechanical components, the electrical motor and power electronics developed before, a new trajectory is calculated. It is implemented with a constrained non-linear optimization algorithm. The approach is applied for a linear drive system under various conditions and the results are validated in measurements. It is shown that this minimizes the total losses of the system which can save around 5 % of energy, compared to other trajectories.