Engine testing laboratories designed for automotive vehicles operate under standards that specify test methods used to evaluate the performance of internal combustion engines. A vehicle engine tested on a dynamometer bench has auxiliary equipment required in order to ensure the test conditions, such as intake air temperature which must be maintained within the specified values by standard reference conditions of the intended application. Given this backdrop, it is clear the importance of study of conditioning systems present in engine test facilities. This dissertation presents the design, implementation and simulation of a conditioning system that controls temperature and humidity of the intake air for testing of combustion engines arranged in a dynamometer bench, regardless of ambient conditions. The dynamical modelling of the air conditioner and its components (chilled water heat exchanger, electric heater and humidifier) was implemented in EES. The PID control system with two gains adjustment schemes (using the Ziegler-Nichols formula, and self-tuned on-line with a fuzzy supervisory system) was designed in MATLAB. The conditioning unit performance and its control system was assessed using a communication established through of the dynamic data exchange between EES and MATLAB. A comparative simulation study on both schemes for tuning of controllers shows that the use of the PID supervisory fuzzy control strategy proposed allows for considerable improvements in dynamic performance of the system, in terms of stability on both variation in flow rate and conditions of the intake air, according to the results obtained in the simulation with experimental data of a heavy-duty Diesel engine over the test cycle 13 steady state modes (ESC test) for emission certification.