The Study on Simulation of Resistance in Stall Motor

The stall phenomenon which happens in loaded motor is unqualification in application. Meanwhile it may measure the maximum property of motor in manufacture. So the phenomenon is analyzed to find a simulation of electrical state to predict the maximum currency and torque which is a necessary method to be proceeded up to now before design. We find that the simulation fits well to the reference. The conditions of t=60s,U=22V result in the biggest stall force according to rotation to change time and voltage. Then it is t=90s,U=17V; t=30s,U=27V and t=120s,U=12V in turns. As for torque it is t=30s,U=27V; t=60s,U=22V;t=90s,U=17V and t=120s,U=12V in truns.

Definition and some Properties of Information Entropy

Definition and some Properties of Information EntropyIn this article we mainly define the information entropy [3], [11] and prove some its basic properties. First, we discuss some properties on four kinds of transformation functions between vector and matrix. The transformation functions are LineVec2Mx, ColVec2Mx, Vec2DiagMx and Mx2FinS. Mx2FinS is a horizontal concatenation operator for a given matrix, treating rows of the given matrix as finite sequences, yielding a new finite sequence by horizontally joining each row of the given matrix in order to index. Then we define each concept of information entropy for a probability sequence and two kinds of probability matrices, joint and conditional, that are defined in article [25]. Further, we discuss some properties of information entropy including Shannon's lemma, maximum property, additivity and super-additivity properties.