Research on Intelligent Control of Electric Drive System

With the development of modern control theory, the general techniques of controller design is gradually replaced by artificial intelligence software technique be widely used. The common feature of the traditional general techniques and the artificial intelligence techniques is that different number and classes knowledge used for describing system performance are needed in them. Comparatively speaking, artificial intelligence software technique have more easy operation and better performance. The intelligent control of electric drive system has attracted much attention at present. This article elaborate all the general problems in this research direction systematically. This article explain the significance and method of adopting intelligence control in electric drive system at first, and then introduce the characteristics of fuzzy control and neuron control applied in electric drive system as two kinds of general intelligence control methods and provide the relevant experimental results. Introduction Intelligence control is a new stage of the development of the automatic control science. At present, the research and application of intelligence control have developed in many fields. At the same time, its development bring new ideas and new methods for the control strategy of electric drive system. Like other subjects, intelligence control is produced and developed from the practices for solving important engineering and technical problems because of the requirement of the development of science and technology. With the improvement of degree of automation and the population of automation, control object become increasingly complex. For the processes in which mathematical model is hard to get or be complex, a fairly good result can not be get by the classic and modern control theories, even there is absolutely nothing it can give for them. But the skilled operation staff can operate freely in manual control. However, human generate the idea naturally that the experience of the skilled staff can be used in automatic control technology as reference. The development of computer control technology make the desire to be true. Computer can take the control work according to the experience and methods of the skilled staff and experts based on its functions in logical reasoning, judgment, recognition, decision-making, study and other aspects. On the other hand, a great deal of progress has been made in research of many academic fields such as artificial intelligence, experts system, nerve net and fuzzy logic in which how to carry out human brains function is explored, various control methods imitating people’s knowledge and thought are proposed from different angles in these research productions such as expert controller, neuron control and fuzzy control which are collectively called intelligence control. Advantages of Artificial Intelligent Control System Artificial intelligent control system should adopt different control method according to different control. Nerve control, fuzzy control, neural network control and genetic algorithm can be seen as a family of nonlinear function approximator. These approximators can provide more accurate results and have more advantages than the conventional function estimator. The specific model of control object will be needed in the control with the traditional function estimator, this is a big limitation, because it is very hard to get the exact dynamical equation of state in many occasions for human. But the limitation can not affect the artificial intelligent control system which do not need the model of control object. Appropriate adjustment can improve the performance of artificial intelligent control system. For 1102 7th International Conference on Education, Management, Computer and Society (EMCS 2017) Advances in Computer Science Research (ACSR), volume 61