Human Adaptive Control Strategy for Multiple Air Conditioners

This paper concerns a control strategy for multiple systems that affect the condition of the air in a room such as electric heaters and floor heating systems. Based on a resident lifestyle and case-based approach, the control system with the proposed strategy optimizes the weighted summation of three evaluation indices: cost, the time needed to reach a comfortable state and the rate of the comfortable state where the comfortable state is defined by well-known PMV (predicted mean vote). This paper discusses how the three indices are evaluated and describes the roles of various components in the proposed system. This paper also presents the user interface for expressing a user´s lifestyle and it touches on future issues.