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      • Evolutionary Modeling of a Process System

        Kayoko Hayashi,Kazuo Kawada,Toru Yamamoto 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

        In this paper, a Genetic Algoritm (GA) modeling system is proposed. The GA is an evolutionary computational method that simulates the mechanisms of heredity or evolution of living this, and it is utilized in optimization and in searching for optimized solutions. Most process systems have nonlinearities, so it is necessary to anticipate exactly such systems. However, it is difficult to make a suitable model for nonlinear systems, because most nonlinear systems have a complex structure. Therefore the newly proposed method of modeling for nonlinear systems uses GA. Then, according to the newly proposed scheme, the optimal structure and parameters of the nonlinear model are automatically generated.

      • Gimbals Control with the Camera for Aerial Photography in RC Helicopter

        Taki Shiino,Kazuo Kawada,Toru Yamamoto,Manabu Komichi,Takafumi Nishioka 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10

        In this paper, PD parameters tuning method for controlling a Gimbals device is proposed. The controlled object the gimbals device is the hanging device, and it is used to keep the camera to be the horizontal position. For example this technique has been paid to attention in the aerial photography by the RC helicopter.However, it is thought as problem that the camera vibrates and the image shakes in the aerial photography by the RC helicopter. Therefore, the position of the camera is first controlled so that the camera may always move to the horizontal position in the ground. As the control technique, the system parameters are estimated by the least squares method. Next, the PD parameters are computed by the generalized minimum variance control law, and control the gimbals device by the gimbals control using the PD control technique. In this paper, the design scheme of the control system is discussed, and the behavior of the control system is examined in the experimental equipment.

      • Design of a Human-Skill Based PID Controller using CMACs

        Kazushige Koiwai,Kazuo Kawada,Toru Yamamoto 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10

        Skilled workers decrease in these years. Then it is a problem that skilled techniques and know-how of specific work are not taken over to next generations. Therefore, a controller which is based on a human-skill is needed to design. On the other hand, in recent year, various neural networks (NNs) have been proposed. These technologies of the NNs enable us to deal with the nonlinear systems, and they play an important role in the field of control engineering. Furthermore, a cerebellar model articulation controller (CMAC) has been proposed as one of artificial NNs. The CMAC is highly abstracted mathematically, considering the cerebellar as a controller for the body motion system. The CMAC has the advantage for the short learning time compared with the conventional NNs. In this paper, a design of human-skill based PID controller using CMACs is proposed. According to the proposed method, PID gains are tuned by some CAMCs which have learned human-skill. Furthermore, the experiment in order to illustrate the proposed scheme was performed by using one of pilot-scaled helicopter control models.

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