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In this study, the methods are applied to the control of the relief food helicopter and achieve good control performance and effect. The design of the fuzzy controller does not depend on the model of the controlled object. But it depends very closely on the experiences and knowledge of control experts or operators. But it is difficult to design a high-level fuzzy controller. Moreover the fuzzy controller is not easy to control learning and adjustment of the parameters, which makes the structure of the self-adaptive fuzzy controller difficult. Self-adaptive learning technology can effectively compensate for the decline of control performance caused by the imperfection of the rule base. The self-adaptive fuzzy control has two kinds of forms.

The Model Relief Food Free Control Technology Based on the Cascade Observer