Research of Differential Evolution Algorithm for Motor Control

An improved differential evolution algorithm for solving nonlinear equations of electrical motor system is explored. The algorithm is to convert equations into an optimization problem and, by keeping consideration of the evolution process and adopting dynamic parameters adjusting mechanism, the algorithm can improve searching efficiency and implement real-time surveillance for population overlapping. The Chaos searching strategy is used for overlapping individual to further improve the ability of global optimization. Analysis results of induction motor motion parameters show that the improved differential evolution algorithm proposed in this paper has high efficiency and powerful global optimization searching ability.

The Password Mechanism Analysis and Research Based on the Chaos Searching

Through analysis and research about Baptista and Alvarez chaotic encryption algorithm, the author points out that the Baptisata algorithm is not high efficiency in practical application, the cryptograph distribution is easy to be attacked by known plaintext; Alvarez algorithm can be deducted key information through the tent map and there is hidden information leakage. The more complex chaotic mapping can be used to instead of tent map, but scheme are not safe even after the changing , there are still many problems, this reflects that the use of chaotic mapping to achieve information security still has a long way to go.

Design Optimization of Beam-Pumping Unit Based on Improved Particle Swarm Optimization

A novel particle swarm optimization algorithm based on chaos searching has been proposed and introduced to optimize the design of beam pumping unit which takes the minimum peak torque factor on the up stroke as the objective function. The optimization for beam-pumping unit have shown the improved particle swarm optimization based on chaos searching algorithm has both advantage of simplify for implement of original particle swarm optimization and advantage of fast convergence, easy to escape local minima for chaos optimization algorithm. The improved optimization has also provided a new method for the design of complex structure.