The Design Of Cloud Model Controller Of Transfor Robot Based On ARM

In many practical control of systems, we often encounter some systems need a lot ofexperimentation and constantly trying and practicing to achieve good effect. These controlof systems not only contains a large number of subjectivity, and at the same times it isdifficult to use a strict mathematical model to describe. Way of control them is to getpeople’s life experience, but the classical control theory is powerless. How to designeffective conversion model (controller) of qualitative and quantitative has become animportant subject which placed in front of experts and scholars.The cloud model is a newly emerging, mainly is used to simulate the human thinkingprocess of a series of uncertain transformation model. Cloud model is mainly to represent aconversion uncertainty model between the concept a qualitative and quantitative with thelanguage value, reflecting the concept contained in our natural language uncertainty. Now,the cloud model still mainly to study the theory of the cloud model and computer simulation.The application of cloud theory to the concrete system, to achieve good control effect willbecome a key research of cloud model. According to the situation of theoretical research,this paper proposed the design method based on the ARM platform to realize the cloudmodel controller, to control the robot moving block control system.First, from the basic theories of cloud model, we study and learn cloud model’suncertainty reasoning theory based on rules generator and the theory of approximating. thenanalyze the related technologies of cloud model controller based on ARM, including designof common cloud model controller, and giving the realization method and validation usingthe hardware platform of S3C2440ARM. Then based on the theory of cloud model, the method ofcloud model controller and ARM platform, this paper designed a handling control system. Accordingto the requirements of handling robot design handling strategy. A cloud model rules,according to the human control experience, design speed of cloud model controller and thecorresponding to the cloud model controller. Cloud model controller through a series ofexperiments to verify the design is reasonable, provides reference for the future design ofcloud model controller. Finally, the work of this paper is summarized and come up with thenext stage of research.