Solution of transient optimization problems by using an algorithm based on nonlinear programmingA new algorithm is presented for solution of dynamic optimization problems which are nonlinear in the state variables and linear in the control variables. It is shown that the optimal control is bang-bang. A nominal bang-bang solution is found which satisfies the system equations and constraints, and influence functions are generated which check the optimality of the solution. Nonlinear optimization (gradient search) techniques are used to find the optimal solution. The algorithm is used to find a minimum time acceleration for a turbofan engine.
Document ID
19780040000
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Teren, F. (NASA Lewis Research Center Cleveland, Ohio, United States)