LabVIEW Implementation of an Auto-tuning PID Regulator via Grey-predictor

Abstract

The purpose of this paper is to design and implement a grey prediction controller (GPC) via LabVIEW as a test platform. Grey prediction model GM(1,1) is used with the aid of first-order, digital low-pass alpha filter to refine the estimation of the system response in advance. The prediction is then utilized to modify the parameters of PID controller. Hence, an auto-tuning PID controller according to the forecasting of system response is achieved. LabVIEW software programming with a data acquisition card (model DAQPad-6015) from National Instruments Co. is chosen to provide a high-resolution, however, time-saving solution for developing this auto-tuning control system. One temperature regulation example is arranged and tested to confirm this auto-tuning controller scheme. Test results of this novel grey prediction controller are derived and compared with traditional PID controller. The Grey prediction controller is far better than PID controller in the prospect of both the transient response and steady state response. Best of all, this auto-tuning regulator eliminates the hassle of human interference