New controller design method based on the data conversion method

For targeting a feedback system with an unknown plant (controlled object), there are several methods for controller designing. In order to reduce costs, conventional methods use a single set of experimental I/O data to design a controller. In this paper, we propose a new method for this purpose, which improves the conventional data conversion method (DCM) and enables us to design a controller by giving an outline figure of the ideal output. In the proposed method, two kinds of the I/O data of the plant are defined. One data is obtained from the linearity of the plant, experimental data (single set of I/O), and an unknown vector. The other is obtained from the structure of a feedback system when the ideal output is given. A controller is designed by matching these two data. Because designing with giving the ideal output directly is possible, this method provides a design environment that makes it possible to reflect a user's idea. Furthermore, proposed method produces a more appropriate parameter for the controller. We confirmed the effectiveness of new method by conducting simulation experiments. In the experiments, we compared proposed method with conventional DCM, and designed a controller by assuming the outline of the ideal output. The result of proposed method showed better performances compared to the conventional methods.