The design of self tuning PID control system based on minimum variance control algorithm

In this paper, we proposes design method of self tuning PID control adapted for uncertainty of plant in control which characteristic change dynamicaly. In proposal method, characteristic polynomial was designed, and minimum variance control on basis of minimization of estimation example was used. Furthermore, self tuning PID control which used stabilization technique proposed. In range of characteristic change [w,xi] = +/- 50 % for nominal model, we compared it with a traditional method, and from simulation result gets possible to construct desirable control system. From simulation result of stabilization in incorrect identification, oscillation, emission were not examined characteristic change front and back, and the control that became stable was realized.