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JCP
2008

Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System

8 years 10 months ago
Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System
Abstract--In this paper, we report some results on hardware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Proportional-Integral-Derivative (PID) controller is designed based on the mathematical model of the plant. The parameters of the plant model are identified on-line by an ADALINE neural network. In order to efficiently and economically implement the designed control system, a Field Programmable Gate Array (FPGA) chip is employed to process the measured data and generate control signals. Moreover, a microprocessor is exploited to perform the core computation of the ADALINE algorithm. Throughout the paper, we design and test the control system for a permanent magnetic DC motor. Our experiment results demonstrate the effectiveness of the proposed approach. It is worth noting that the experimental bed in the present paper can also be used as a low-cost general prototype to satisfactorily test adaptive control systems, owing to the b...
Shouling He, Xuping Xu
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JCP
Authors Shouling He, Xuping Xu
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