Прегледај по Аутор "Stojanović, Vladimir"

Сада се приказује 1 - 3 од 3
  • Сличица
    Ставка
    ANALYZING AND OPTIMIZING PI CONTROLLER METHODS FOR TWO TANK SYSTEM: A LABORATORY-BASED STUDY
    (Mašinski fakultet, Univerzitet Istočno Sarajevo, 2024-11) Rajaraman, Janani; Prodanović, Saša; Chittaluri, Sai Phani Chandra; Dubonjić, Ljubiša; Stojanović, Vladimir; Marković, Biljana; Milutinović, Miroslav; Milić, Davor
    This research paper presents a comprehensive investigation into the design, analysis, and optimization of Proportional-Integral (PI) controller methods for interacting systems, conducted through laboratory experimentation. The study aims to enhance the performance and stability of PI controllers by exploring various tuning methods and strategies tailored to address the intricacies of interacting systems. Through a series of experimental setups in the laboratory environment, different PI controller tuning techniques are systematically evaluated, including modern optimization algorithms such as Genetic Algorithms, Particle Swarm Optimization and Ant Colony Optimization. The effectiveness of each tuning approach is assessed based on key performance metrics, including settling time, overshoot and steady-state error. Furthermore, the study investigates the robustness of the optimized PI controllers against parameter variations and disturbances commonly encountered in real-world systems. Comparative analysis and statistical evaluation are employed to identify the most suitable tuning method for achieving robust and reliable control performance in interacting system.
  • Сличица
    Ставка
    OPTIMAL CONTROL OF A TWO-WHEELED SELF-BALANCING MOBILE ROBOT BASED ON ADAPTIVE DYNAMIC PROGRAMMING
    (University of East Sarajevo, Faculty of Mechanical Engineering, 2024-11) Stojanović, Vladimir; Đorđević, Vladimir; Dubonjić, Ljubiša; Prodanović, Saša; Marković, Biljana; Milutinović, Miroslav; Milić, Davor
    This paper considers optimal tracking control for a two-wheeled selfbalancing mobile robot with unknown dynamics. The aim is to achieve asymptotic tracking and disturbance rejection by minimizing some predefined performance index. Through the combination of adaptive dynamic programming (ADP) and internal model principle, an approximate optimal controller is iteratively learned online using measurable input/output data. Unmeasurable states are also reconstructed from input/output data. The discrete-time algebraic Riccati equation is iteratively solved by ADP approach. Simulation results demonstrate the feasibility and effectiveness of the proposed approach.
  • Сличица
    Ставка
    PD controller design for a system of a valve controlled hydromotor
    (Faculty of Mechanical and Civil Engineering, Kraljevo, University of Kragujevac, 2023) Dubonjić, Ljubiša; Prodanović, Saša; Stojanović, Vladimir; Menezes Morato, Marcelo
    PD controller design methodology based on D-decomposition is considered in this paper. The method consists in tuning two parameters of a controller: proportional (P) and differential (D). The method was applied to a hydromotor controlled by a valve according to the position of the valve’s piston. The results obtained in this paper show the good performance of the automatic control system in comparison with other methods of controller design and other controllers designed with the same method on the valve controlled hydromotor system.