Precise Control of Dynamic Object by Combining of the Advantages of Different Sensors

Precise control of dynamic objects with negative feedback loop is widely used in science and industry [1-3]. Control accuracy depends on properties of the regulator, as well as on the accuracy of the sensor of the output value. Often the choice of the best sensor is impossible, because the different sensors may have different, and none of them is the best over the whole frequency range. In this paper, the research work is carried out in the base of the mathematical simulation and some theory. The modeling proof of the method effectiveness is carried out on specific examples. The sensors together with the object give the task with single input and two outputs (SITO)

The Two Methods of Reverse Overshoot Suppression in Automation Systems

The task of controlling oscillatory objects is extremely difficult. In the case of a complex object, analytical methods are weaker than the methods based on numerical optimization of the regulators (controllers). The tools incorporated in this method are the set of structures of regulators, the set of target functions and the software for modeling and optimization. Our research has been devoted to studying the methods of constructing the cost (objective, target) functions, their advantages and disadvantages, as well as the reasons for opting VisSim program for simulation and optimization. The most often used control structure is a serial PID-regulator (controller, PID) that contains the proportional, integrating and differentiating paths. Although the special measures for choosing a cost functions allows for suppressing the oscillations in the system, in some cases, these measures are not effective. This paper discusses that the structural methods of suppressing the oscillations in the systems to control the objects are prone to oscillatory instability. These measures include the use of more complex structures rather than the traditional PID. The proposed methods tested on mathematical modeling using simulations to calculate the transient processes confirmed the effectiveness of these methods