Predictive Controller Design for Automobile Climate System

Since the car is working in different climatic conditions, any Changes in temperature of the climatic conditions can affect various parts of the car. So it is necessary to optimize the energy consumption & keep the passengers in a suit & comfort state considering this kind of changes. The automotive air conditioning system is one of the largest ancillary loads in the passenger cars , with considerable effects on the vehicle fuel consumption .While most of the studies have represented linearized equations & simplified steady state matrixes , In the simulations of this paper, Nonlinear dynamic equations with using a model predictive controller and advanced control theory is designed for automotive air conditioning system.At the same time, a genetic algorithm technic which is a method of generation evaluation, is finding out the best answer in the whole problem space using a fitness function to select optimized inputs for sending to the plant. Also in this system a compressor capacity & fan flow rate has considered as two inputs to achieve the main objectives like minimizing the steady state error, system fast response, reduction of noise effects, minimizing of energy consumption and comforter of passengers.