  Parameter selection is one of the most important parts for nearly all the
control strategies. Traditionally, controller parameters are chosen by
utilizing trial and error, which is always tedious and time consuming.
Moreover, such method is highly dependent on the experience of researchers,
which means that it is hard to be popularized. In this light, this paper
proposes a novel parameter searching approach by utilizing uniform design (UD)
algorithm. By which the satisfactory controller parameters under a performance
index could be selected. In this end, two simulation examples are conducted to
verify the effectiveness of proposed scheme. Simulation results show that this
novel approach, as compared to other intelligent tuning algorithms, excels in
efficiency and time saving.
