Identification of ship equipment processes by methods of introspective analysis

Abstract

For introspective identification of the automatic control system (ACS) of a DC motor there has been developed a specific simplified technique of studying the optimization of a linear automatic control system. The technique is based on using the MATLAB computer simulation program, which helps to easily obtain the transition function of the ACS model, on the understanding a few ACS properties and using the directed search method. The work can be done in three stages, in accordance with the tasks. Draft models are considered, in which the researcher must set up the parameters of the elements, activate the simulation process and keeping under control the type of the transient function select the values of the optimal gains of the controllers. The time constant of the PI controller is chosen equal to the largest time constant of the ACS loop elements. It is often the time constant of the control object. In this case it is the time constant of a DC motor. The optimal choice of the system will also determine the tasks of identification, due to which it will be possible to correctly select a technological object by a specific ACS, its control variable and disturbance to provide the solution of the problem facing ACS. The static characteristics of an object determine the dependence of the controlled variable on the controlling variable and disturbances. In simple cases they can be obtained analytically by using the physical laws that link the controlled variable to the input parameters. Parametric optimization of indicators has been identified and tested on simulation examples in a simulation package and makes it possible to judge the correctness of simulation with a minimum error value.