Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System
Shouling He, Xuping Xu · Journal of Computers · 2008
Abstract—In this paper, we report some results on hard-ware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Pro-portional-Integral-Derivative (PID) controller is designed based on the mathematical model of the plant. The pa-rameters 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 em-ployed to process the measured data and generate control signals. Moreover, a microprocessor is exploited to per-form the core computation of the ADALINE algorithm. Throughout the paper, we design and test the control system for a permanent magnetic DC motor. Our ex-periment results demonstrate the effectiveness of the pro-posed 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 benefit of software and hardware co-design. Index Terms — Hardware, software, ADALINE, FPGA, adaptive control. I.