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The paper deals with the optimal energy control referring to an electrical servo drive system. The influence of the variable torque is considered. The optimal controller is established for the discrete case. A convenient algorithm for the studied problem is indicated and some simulation results illustrate the behaviour of the system.
A linear quadratic optimal problem with fixed end-point is studied for continuous and discrete case. The proposed solution is convenient for control law implementation. Some remarks referring to the existence of the solution are indicated.
The linear quadratic optimal control problem with finite final time and fixed end-point for discrete linear time invariant systems is presented. The study takes into account the influence of the time variant perturbations in optimal control law implementation. The applicability of the proposed algorithm is validated by simulation tests.
The linear quadratic optimal control problem for time invariant systems is presented. The problem with Unite final time and fixed end-point is considered. The study takes into account the influence of the time variant perturbations in optimal control law implementation. The applicability of the proposed algorithm is illustrated by simulation tests.
The optimal control with quadratic criteria for discrete linear time invariant systems is considered. The study takes into account the influence of the time variant perturbations. A convenient algorithm is proposed and simulation results are presented.
The optimal control from the energetic point of view of the transient state of electrical drive systems with induction motors is presented. The performance criteria consider only Joule losses, since they significantly overcome other ones in the transient state. The paper refers to variable imposed electromagnetic or load torques.
The paper presents fixed and free end-point linear quadratic problems for drive systems with brushless or D.C. motors. Symmetrical algorithms for the both problems are proposed. These algorithms can be easier implemented by comparison with classical procedures. Simulation results and a comparison between the two type of problems are presented in the last section
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