Fuzzy adaptive control of grain combine

The solution to the problem on the adaptive control of the motion path and combine tools loading based on fuzzy logic inference is considered. The problem formalization of the fuzzy combine control under the frequently changing operation conditions is resulted. The linguistic variables which characterize the control parameters and the “inputs-output” dependence surface and conform to the production synthesized fuzzy system are presented. The term-set parameters of the linguistic variables and membership functions for the fuzzy multivariable adaptive control system of the grain combine are described. The fuzzy microcontroller simulation model implemented in MatLab Simulink system with Fuzzy Logic Toolbox is presented. The simulation results are given. The presented rule base and inference mechanism form the basis of the multivariable adaptive fuzzy control system of the grain combine.