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Adaptive Inverse Modeling And Control Of MIMO Systems

Posted on:2009-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:H M WangFull Text:PDF
GTID:2178360272471701Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In the feedback control mode of the traditional and adaptive controls, the enhancing of the system's performance and the attenuating disturbance are done through simultaneous output and disturbance feeding backs, which have to be compromised to each other. But the adaptive inverse control doesn't need much prior knowledge. Some good adaptive inverse control can be designed without knowing plant's mathematic model. The control of plant's dynamics and plant's disturbance attenuation are done respectively and they don't affect each other. So the system's performance can best be enhanced and disturbance can be attenuated. Not only the good dynamic response can be acquired, but also noise and disturbance are reduced to the minimum. In this paper, MIMO adaptive inverse control and it's appliancation are dealt with.Internal Model Control(IMC) technique is chosen to control the MIMO systems in the paper. During past decades of research and application, it has been proved that there are many advantages, such as excellent servo performance , high robustness, particularly in case of model uncertainty , strong ability to inhibit , and so on.Adaptive inverse control method for multi-input and multi-output (MIMO) plant based on multi-variable internal model control is proposed in this paper. The configuration design of controller in multi-variable internal model control is combined with multi-variable modeling in MIMO adaptive inverse control method to be applied into units load system and ball mill system. The simulations are carried out with MATLAB software. The results show the effectiveness of the adaptive inverse control strategies.
Keywords/Search Tags:Adaptive inverse control, Disturbance canceling, Internal model control
PDF Full Text Request
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