Design and simulation of dual fuzzy self-adjusting immune PID controller for grain drying system

Abstract

The grain drying process has the characteristics of large time delay, nonlinearity, multi disturbance and strong coupling. In order to reduce the grain moisture content during drying process, to ensure the grain quality of the grain, and enable the uniform moisture content of outlet grain, a new improved controller model for grain drying which called the dual fuzzy self-adjusting immune PID controller in this paper is proposed based on immune feedback mechanism, and the problem of fixed change rate of the parameters of general fuzzy immune PID controller is solved. Matlab simulation tool is used to simulate the control models of grain drying system, and the effectiveness of this new improved control method for the grain drying system is shown by simulation on the performance comparison with the other control methods, such as: general PID, fuzzy self-adjusting PID and general fuzzy immune PID. The simulation results show that the new fuzzy immune PID controller has better dynamic performance in the aspects of overshot, stability and anti-jamming.