In article interest is concentrated on the climate parameters optimization in passengers’ salon of public electric transportation vehicles. The article presents mathematical problem for using intelligent agents in mechatronics problems for climate parameters optimal control. Idea is to use fuzzy logic and intelligent algorithms to create coordination mechanism for climate parameters control to save electrical energy, and it increases the level of comfort for passengers. A special interest for investigations and further development is devoted to intelligent heating, ventilation and air condition systems allowing more flexible control of the system’s compressor, fan and heater operation, and, therefore, improvement of efficiency and energy saving. This paper provides the mathematical model and algorithm for optimal control of the heating system. The modeling and investigation are based on the typical architecture of heating, ventilation and air condition system with a traditional application of AC induction motors for driving both compressor and fan of the conditioner. The well-known field-oriented method has been considered for the modeling. Mechatronic process is characterized with several controlled energy flows. Energy flows can be controlled by changing variable characters of low voltage. Thus with the help of electronic devices the flow of energy influences climate parameters in facilities. Several detectors control measurable variables. The purpose is to define the optimal heating, ventilation and air condition system working regime, taking in account priorities of consumers. Deep and detailed investigation of the behaviour of such a system, its operation and running processes requires its generalized mathematic modelling, taking into account all possible regimes of the operation of heater, compressor and fan motors and setting an algorithm of their control in all possible regimes under any condition. The control function is provided with the help of computer which dispatches the control signals according to this algorithm to the power converter which in its turn controls the motors and heater. The fuzzy logic controller developed here is a two-input single-output controller, which makes output control decisions from input users’ fuzzy decisions on comfort level. Value adaptation provided using improved Rastrigin’s adaptation algorithm. Intelligent agent usage gives such advantages for climate parameters control: autonomous fulfillment, interaction with other agents and/or users, surrounding control, ability to adaptation for achieving goals, ability to learning from environment, non sensitivity of mistakes and/or wrong signals, real time work, coordination with other agents and ability to make decision. General mathematical description of one of the modern methods of electric motor control is taken as base of the modelling of the system. The modern systems provide a simultaneous control of the compressor motor and fan motor and even the input factor as well that gives the possibility to improve the efficiency of the system and follow the energy saving. The methods of the problem solving and the structure of problem solving algorithm are given in the article. Algorithm is tested in modeling way. The elaborated system model can be used for sustaining microclimate in different facilities, buildings and public electric transportation. There are main conclusions at the end of article.