Suboptimal Controller Using Model Reduction Technique

May 6th, 2015
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A very great amount of thought has been given to the selection of this topic. Basically, here we are concerned with the problem of dealing with higher order ricatti equation. The amount of work and the number of variables used in various calculations in a power plant is very large and the objective is to minimize the higher order model into a lower order model as the lower order model is easy to work with.

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Suboptimal Controller Using Model Reduction TechniqueDESIGN OF SUBOPTIMAL CONTROLLER USING MODEL REDUCTION TECHNIQUEGaurav Kumar, Avinash Pandey, Ashutosh DubeyDepartment of Instrumentation and ControlGalgotias College of Engineering and Technology, Greater NoidaAbstract:A very great amount of thought has been given to the selection of this topic. Basically, here we are concerned with the problem of dealing with higher order ricatti equation. The amount of work and the number of variables used in various calculations in a power plant is very large and the objective is to minimize the higher order model into a lower order model as the lower order model is easy to work with. The next difficulty is to design the optimal controller for the ricatti equation of higher model. These two problems are the main concern of our topic. The idea for the solution of these problems is the use of Routh Pade Approximation technique. It is a technique that reduces the order of the equation in a very easy and work-friendly way. The Pade Approximation reduces the higher order model into a lower order model and then we design a suboptimal controller for this lower order model. These two thing

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