Study On Control Of Vertical Axis Magnetic Suspension Wind Power Generator Rotor System

With the development of economy and living standards, the solution of the energy source problem becomes more and more urgent. Wind energy which is known as the "green energy" is taken seriously. As a kind of natural resource, wind energy can be utilized just like conventional energy sources such as coal, oil and natural gas and so on. Furthermore wind energy has its unique advantages of clean and pollution-free. If we can successfully exploite the small-family wind power generator which is easy to install, the weak wind speed to start, high security, small size and suitable for the regional characteristics and promote them to family use in order to make the small power supply as effective complement of electric network power supply. This kind of wind power generator not only can reduce pollution caused by traditional generator, also can alleviate energy shortage in some areas and cope with emergencies. This study has great significance for our country energy configuration. This paper selects the control of vertical axis magnetic suspension wind power generator rotor system with theoretical and practical significance as the research topic and some related work is done.First of all, vertical axis magnetic suspension wind power generator is designed briefly. This wind power generator uses the magnetic suspension technology in rotor system. A hybrid suspension design which combines electro-magnet and permanent magnet is utilized. So it has many advantages such as no contact, having no use for lubrication, low power consumption, further reduction start-up wind speed, etc. On this basis, a mathematical model of rotor system is established in order to be able to control the rotor displacement effectively.Then, this paper combines sliding mode control, adaptive neural fuzzy inference system(ANFIS) and PID control idea which is applied in industry generally. Aimed at magnetic suspension rotor system, this paper further studies fuzzy sliding mode control and ANFIS-PID control based on adaptive neuro-fuzzy inference system and achieves the stable suspension of vertical axis magnetic suspension wind power generator rotor. The greatest advantage of sliding mode control is robustness. This paper chooses the appropriate switching function and designs the corresponding control laws to ensure the adaptability of vertical axis magnetic suspension wind power generator rotor system for complex operating environment and restrainability against parameter variation and outside interference. The biggest disadvantage of sliding mode control is chatter. This paper uses fuzzy algorithm to soften the outputs of sliding mode control in order to weaken the chatter of common sliding mode control greatly. ANFIS-PID control which fully integrates the abstraction of fuzzy control and learning ability of neural network can achieve to adjust PID control parameters on line, effectively solve the defect that conventional PID controller can not automatically adjust the PID parameters, increase self-adjustment capacity of rotor system.Simulations show that both of methods successfully achieve the stable suspension of rotor so that the vertical axis magnetic suspension wind power generator rotor system has good dynamic performance, the desired results are achieved.