Identification and robust control of an experimental servo motor

Bounded neuro-control position regulation for a geared DC motor

“…There are several approaches used to control the angular velocity or the position of DC motors, e.g. fuzzy logic (Gündogdu and Erentürk, 2005), robust control (Adam and Guestrin, 2002), PID controllers (Kelly and Moreno, 2001), and so on. New technologies to control this kind of systems based on artificial intelligence can be found in the literature (Pravadalioglu, 2005;Nouri et al, 2008;Jang, 2009).…”

Parameter identification of a perturbed servomechanism operating in closed loop under PID control

“…References [4], [5], [6], [7] propose methods for closed loop identification of position-controlled servos where the loop is closed using a linear controller. In [4] the authors performs parameter identification using a low gain proportional controller combined with an off-line Least Squares identification algorithm.…”

“…In [4] the authors performs parameter identification using a low gain proportional controller combined with an off-line Least Squares identification algorithm. In the method presented in [5], a two degrees-of-freedom linear controller closes the loop; the controller is tuned using the rotor inertia and setting the viscous and Coulomb friction to zero.…”

Particle and Kalman filtering for state estimation and control of DC motors

“…Additionally, controllers for nonlinear DC motor models have been developed [3]. If the nonlinearities of the motor are known functions, then adaptive tracking control methods with the technique of input-output linearization can be used [4][5][6][7]. When these nonlinearities or disturbances are unknown, neural or fuzzy control can be more suitable for ensuring the satisfactory performance of the closed-loop system [8][9][10][11][12][13][14][15].…”