LIMA, A. B.; http://lattes.cnpq.br/2618837143498541; LIMA, Alequine Batista de.
Abstract:
Controllers are needed for the industry to produce scale and reach, not only maximizing
production but also improving the quality of production. The PID controllers dominate
the industry because they are able, with a low complexity, to produce an acceptable
response of the system. The optimal controllers emerged as a way to get the best set
of controller parameters for a particular control problem, that is, obtaining the most
appropriate response from the viewpoint of the designer. Fluctuations in the power grid
or in the load of the machines usually occur in the industry, so that another control area
appears. Called robust control, the objective is to design controllers that have high noise
and system variations rejection. In this work, an innovative controller design approach
will be presented, mixing the concepts of optimal control and robust control, ensuring the
designer to move between the controller settings by changing the coefficients of a linear
objective function. Then, to cope with a changing system depending on the operating
point,a gain scheduling based adaptive strategy is used. Therefore, it is presented in a
brief way the linear programming theory and the definitions of restrictions on Nyquist
diagram of an electro-mechanical system in order to consolidate an alternative controller
design technique.