The application of a computer-assisted controller tuning program, an automatic tuning controller, and a self-tuning controller to heating, ventilating, and air-conditioning (HVAC) processes is reported. Automated controller tuning addresses two fundamental problems in HVAC control applications: the time-consuming initial tuning of the controller and the requirement for periodic controller retuning as system loads change. The tuning methods described in this paper rely on the estimation of a process model for calculating proportional-integral (PI) control parameters. An evolutionary approach in the development of automated tuning methods allows the transfer of valuable experience.

Units: Dual