System identification and intelligent control of automotive air conditioning system

Abstract

The purpose of this study is to investigate the application of the variable speed compressor for an automotive air conditioning. A model structure selection based on system identification and intelligent control has been proposed in this study to enhance the automotive air conditioning. The previous experimental rig is using for data acquisitions input and output data from variable speed compressor voltage versus the temperature cabin for the common car model. Results were compared between the Least Square Method and Neural Network It was discovered that neural network have the exploring potential solution in terms of real time, timing and predictive accuracy. Simulation results demonstrated the least square method result were accurate in this project but not purposely use due to off-line method. Since the AAC system operates under wide range of operation conditioning. It would be impractical to carry out system identification covering the entire operating range. Future work, the case studies towards the implementation of the proposed controller on a vehicle with exposure to actual environment disturbance.