|Autors: Mitov, A. S., Kralev, J. K., Slavov, T. N., Angelov, I. I.|
Title: Real-time LQG control strategies for electrohydraulic steering of mobile machines
Keywords: electrohydraulic steering system, Kalman filter, linear-quadratic Gaussian (LQG) control, real-time
Abstract: The main aim of the article is to compare two real-time control strategies for electrohydraulic power steering system of modern mobile machines with Linear-quadratic Gaussian (LQG) controllers. The both modification of LQG controller are designed on the basis of two multivariable uncertain plant models. The plant models are obtained by identification procedure via "black box" approach and takes into account the deviations of the parameters that characterize the way that the control signal acts on the state of the models. The difference between the two modifications of the embedded controllers lies in the different types of output signals, which are used as feedback in control system. The comparative analysis of time and frequency domain properties of controllers are performed. The results obtained show the better performance of one system. The control algorithms are implemented in 32-bit microcontroller. A number of experiments have been executed.
1. Tomov, P., Aprahamian, B., Petkov, P., Express method for thermodynamic diagnostics of hydraulic systems with hydraulic volume rotary machines in operating conditions, 2021 17th Conference on Electrical Machines, Drives and Power Systems, ELMA 2021 - Proceedings. - 2021 - в издания, индексирани в Scopus или Web of Science
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus