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Porównanie jakości pracy trzech algorytmów typu PID: liniowego, rozmytego i neuronowego

Tomera M.

Automatyka, Elektryka, Zakłócenia

2011

Vol. 2, Nr 6

59-77

W pracy opisane i przebadane zostały trzy regulatory wykorzystujące strukturę klasycznego regulatora PID: liniowy, rozmyty i neuronowy. Ocena jakości pracy układów sterowania z tymi regulatorami przeprowadzona została na stanowisku laboratoryjnym w układzie sterowania poziomem wody w kaskadzie dwóch zbiorników.

The article describes the three algorithms which are based on the structure of the classical PID controller: the linear controller, the fuzzy controller and the neural network controller. The operation quality of control systems with those controllers was evaluated at the laboratory station during the tests involving a two-tank cascade.

Neural network parallel force/position control of robot manipulators under environment and robot dynamics uncertainties

Ferguene F., Achour N., Toumi R.

Archives of Control Sciences

2009

Vol. 19, no. 1

93-121

The performance of a parallel force/position controller for robot force tracking is affected by the uncertainties in both the robot dynamics and the environment stiffness. This paper aims to improve the controller's robustness by applying the neural network (NN) technique to compensate for the robot dynamics at the input trajectory level and adaptive feed-forward compensation to cope with variations in the contact environment. A NN control technique is applied to a conventional PID force/position parallel control scheme which is composed of a PD action on position loop and a proposed adaptive I (integral) action on the force loop, which allows a complete use of available sensor measurements by operating the control action in a full dimensional space without using selection matrices. Simulation results for a three degrees-of-freedom robot show that highly robust position/force tracking can be achieved in the presence of a full dynamic robot and large environment stiffness uncertainties.