Fast adaptation algorithm for pi controller

Quality of the automatic control is the basis of economic effect of industrial control systems. The appropriate regulator settings should be found to improve the quality of automated control systems, but improved accuracy results in the reduction of stability margin, that's why operators try to reduce setttings in complex systems (ie, set the "weak setting"),so the system could worke in all modes. Controller's "low (all-mode) tuning" is the main disadvantage of existing control systems, which reduces profits. Frequent changes of plant parameters are the prime cause of low quality tuning and reduced efficiency of control systems. These changes are caused by changeable mode of plants, loop interdependence in multidimensional systems. In terms of operating the only one way is to ease settings, achieving reduction of loop interdependence, ensuring adequate stability margin in all possible modes of operation. The quality of work with such tuning is obviously worse and the profit is less. The article presents possible approaches that can increase the efficiency of automatic control systems and describes the adaptation algorithm for PI controller based on an analysis of statistical data.