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Experimental verification of H∞ control with examples of the movement of a wheeled robot

100%

Hendzel Z. , Penar P. , Hendzel Z. , Penar P.

Adaptive dynamic programming methods in control of wheeled mobile robot

86%

Hendzel Z. , Szuster M.

tom Vol. 17, no. 3

837-851

The control problem of nonlinear systems is a demanding task that requires application of complex methods. The development of artificial intelligence methods in recent years has made it possible to design control systems able to adapt parameters to changing or unknown parameters of the controlled object or process. In the article, a new approach to the tracking control problem of a wheeled mobile robot is presented. It uses the newest methods of artificial intelligence, such as adaptive dynamic programming algorithms, in the tracking control task. The proposed tracking control system is compared to the neural control system and the PD controller in a problem of the mobile robot tracking control. Laboratory tests of the proposed control systems were advances performed using the wheeled mobile robot Pioneer 2-DX and the computational environment that makes real time control and data acquisition possible. The proposed tracking control systems are stable and do not require the stage of preliminary learning of neural networks.

Collision free path planning and control of wheeled mobile robot using Kohonen self-organising map

72%

Hendzel Z.

Modeling and tracking control of wheeled mobile robots

58%

Giergiel J. , Trojnacki M. T.

2006

tom Vol. 10, nr 1

74-81

The problem of tracking control of wheeled mobile robots (WMRs) using neural network is analyzed in this paper. The synthesis of control systems using the second Lapunov method was carried out. As a result of the synthesis, the stability of the designed systems was proven. A large number of computer simulations for these control systems using Matlab/Simulink package were executed. The results of the theoretical tests were verified by the rapid prototypical method. The rapid prototyping environment for the Pioneer robot was based on the Matlab/Simulink package and dSPACE board.

Maszynowe uczenie ruchu mobilnego robota kołowego

58%

Hendzel Z. , Szuster M.

2008

tom z. 74 [258]

85-96

In this paper, we proposed an algorithm used in feedback control of a wheeled mobile robot, based on approximate dynamic programming, in form of an actor-critic structure (ACE-ASE). An algorithm operates in discrete time, it uses parametric structure-actor (ASE) in form of neural network, to approximate nonlinear functions of mobile robot in control law, and critic (ACE) that generates rating of control quality. Verification based an experiment using Pioneer-2DX wheeled mobile robot, confirmed correctness of assumed control algorithm.

Weryfikacja odpornego sterowania rozmytego ruchem nadążnym mobilnego robota kołowego

58%

Jagiełowicz-Ryznar C.

2008

tom z. 74 [258]

115-126

The problems addressed in the thesis concern important and up-to-date issue of the mechatronic design of the robust control systems of follow-up motion of the mobile wheeled robots. In the thesis the synthesis of control algorithms based on stability theory of Lapunov was carried out along with simulation analysis of the three control algorithms of the follow-up motion of the mobile wheeled robot with consideration of the parametric inaccuracy: analytic robust sliding control algorithm, robust sliding control algorithm with fuzzy compensation control, fuzzy algorithm of sliding control. The mobile wheeled robots Pioneer-2 DX was a real object, which was used for verification of research.

Approximate dynamic programming in robust tracking control of wheeled mobile robot

58%

Hendzel Z. , Szuster M.

2009

tom Vol. LVI, nr 3

223-236

In this work, a novel approach to designing an on-line tracking controller for a nonholonomic wheeled mobile robot (WMR) is presented. The controller consists of nonlinear neural feedback compensator, PD control law and supervisory element, which assure stability of the system. Neural network for feedback compensation is learned through approximate dynamic programming (ADP). To obtain stability in the learning phase and robustness in face of disturbances, an additional control signal derived from Lyapunov stability theorem based on the variable structure systems theory is provided. Verification of the proposed control algorithm was realized on a wheeled mobile robot Pioneer-2DX, and confirmed the assumed behavior of the control system.

W pracy przedstawiono nowe ujęcie problematyki sterowania nadążnego mobilnym robotem dwukołowym. Algorytm bazuje na metodzie uczenia ze wzmocnieniem o strukturze aktor-krytyk i nie wymaga uczenia wstępnego, działa on-line bez znajomości modelu robota. Element generujący sterowania (aktor - ASE) oraz element generujący sygnał wewnętrznego wzmocnienia (krytyk - ACE) są zrealizowane w postaci sztucznej sieci neuronowej (SN). Prezentowany algorytm sterowania zweryfikowano na rzeczywistym obiekcie, dwukołowym robocie mobilnym Pioneer-2DX. Badania potwierdziły poprawność przyjętego rozwiązania.