Kazuki Eguchi

PID Controller Design Based on ASPR-ness by Using Partial Model Matching on Frequency Domain

In this paper, a practical design method of stable PID controller based on almost strictly positive real (ASPR)-ness is proposed. Both of the controller and a parallel feedforward compensator (PFC), which is introduced to guarantee ASPR-ness of a controlled plant, are designed by using partial model matching on frequency domain technique. The design method utilizes only finite number of frequency response data so that there is no need to identify the whole transfer function of the controlled plant

Online sound field controller design using partial model matching on the frequency domain

In this paper, a practical method to design sound field controllers, especially for noise reduction, is proposed. Spectral analysis based on correlation method is used in order to estimate frequency response of the field to control. Then the controller is tuned automatically using partial model matching on the frequency domain. The proposed method is thought to be practical since it requires only input-output data for tuning the controller instead of a mathematical model of the listening room. The effectiveness of the proposed method is examined through an experiment with a stereo audio system. The result shows that the controller designed by the proposed method succeeded about 5 [dB] attenuation of sinusoidal noise.

MIMO adaptive output feedback sliding mode control with parallel feedforward compensator for linear systems

Abstract This paper describes a procedure for adaptive output feedback sliding mode control(SMC) based on Almost Strictly Positive Real(ASPR)-ness for a class of multi-input/multi-output linear time invariant systems. Stability of the control system is achieved by using the parallel feedforward compensator(PFC), which guarantees ASPR-ness of the plant. Effectiveness of the proposed method is confirmed through numerical simulations.