On the Design of Optimal Digital Servosystem

Mita, Tsutomu; Mukaida, M.

doi:10.9746/sicetr1965.19.193

Cited by 6 publications

(1 citation statement)

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“…To get rid of noise, the state variable filter E ( d ) (15) was applied as (5) where e 1 and e 2 correspond to the characteristics of this filter. By using the unknown parameter vector q and the data vector j , Eq.…”

Section: Parameter Identification Using a Delta-operatormentioning

confidence: 99%

Resonant Frequency Control for Artificial Heart Using Online Parameter Identification

et al. 2004

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To develop effective medical care and therapeutic control using an artificial heart, a new control method has been developed. This new method can control the artificial heart effectively and can adapt to internal physiological behavior using measured physiological data; aortic pressure, aortic flow, and pump flow. This method consists of first, a second-order physiological model, which represents the internal physiological behavior by a mathematical equation; and second, an estimation method, which can identify the physiological parameters; aortic inertia, aortic resistance, aortic compliance, and peripheral resistance by a parameter identification method. It can then calculate the resonant frequency as the control signal for the artificial heart from the identified physiological model. To confirm the effectiveness, the proposed method was evaluated in a computer simulation study. This evaluation showed that the new method could estimate the physiological parameters and the resonant frequency within a 10% error. The impedance of the systemic circulation could also be reduced by this method.

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Section: Parameter Identification Using a Delta-operatormentioning

confidence: 99%

Resonant Frequency Control for Artificial Heart Using Online Parameter Identification

et al. 2004

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Direct digital design of computed torque controllers

Ishihara

1994

J. Robotic Syst.

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Direct digital design of computed torque controllers for a robot manipulator is discussed in this article. A simple discrete‐time model of the robot manipulator obtained by Euler's method is used for the design. Taking account of computation delay in the digital processor, we propose predictor‐based designs of the PD and PID type controllers. The PID‐type controller is designed based on a modified version of the discrete‐time integral controller proposed by Mita. For both controllers, the feedback gains can be determined easily by using simple formulas. A simulation example is presented to illustrate the relevance of the proposed designs and the robustness of PID‐type controller against physical parameter variations. © 1994 John Wiley & Sons, Inc.

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