Dynamic Optimization of First-Order Systems via Static Parametric Programming: Application to Electrical Discharge Machining
نویسندگان
چکیده
In this paper, it is shown that dynamic optimization problems of first-order systems can be transformed into a static parametric programming problem, where the state plays the role of the parameter. Thus, an optimal feedback law is obtained. This concept is applied to the diesinking Electrical Discharge Machining, a highly time varying industrial process which necessitates adaptation of machining settings during operation. It is shown that the minimumtime operation of this process is equivalent to choosing the manipulated variables that maximizes the speed of machining at every position.
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