نتایج جستجو برای: generalized backstepping method

تعداد نتایج: 1766831  

2006
I. K. Bousserhane M. Rahli B. Mazari M. Kamli

In this paper the position control of a linear induction motor using adaptive fuzzy backstepping design with integral action is proposed. First, the indirect field oriented control for LIM is derived. Then, an integral backstepping design for indirect field oriented control of LIM is proposed to compensate the uncertainties which occur in the control. Finally, the fuzzy integral-backstepping co...

2014
Muhammad Rizwan S. Khan Robert N. K. Loh

This paper addresses the analysis, design, and application of observer-based nonlinear controls by combining feedback linearization (FBL) and backstepping (BS) techniques with Luenberger observers. Complete development of observer-based controls is presented for a bioprocess. Controllers using input-output feedback linearization and backstepping techniques are designed first, assuming that all ...

Journal: :E3S web of conferences 2021

The torque and flux ripple of traditional DTC control PMSM is large, due to the lack adaptive system, change system parameters has a great impact on steady transient performance motor speed. Based algorithm, parameter identification backstepping algorithm proposed in this paper. Because controller used replace PI hysteresis controller, steady-state obviously improved. At same time, designed, wh...

Journal: :IEEE Transactions on Intelligent Transportation Systems 2021

The vertical security problem of maglev train is challenging for nonlinearity, external disturbances, unmeasurable airgap velocity and constrained output. To solve this problem, a semi-supervised controller based on deep belief network (DBN) algorithm proposed in the presence unknown disturbances. Firstly, extended state observer (ESO) designed to ensure fast convergence observation errors with...

2010
Svein Ivar Sagatun Agus Hasan Jonathan Ronen

This thesis was set to tackle the gas coning problem in oil-rim reservoirs with horizontal wells. The focus was short term production planning in the sub-critical phase only. Different controllers were developed and assessed based on the objective of netpresent-value (NPV) of oil produced in the sub-critical phase. The reservoir model is a 1-D partial differential equation describing the dynami...

Journal: :Int. J. Computational Intelligence Systems 2011
Dehui Qiu Qinglin Wang Jie Yang Jin-Hua She

This paper presents an adaptive fuzzy backstepping control method that incorporates the dynamic equilibrium state (DES) theory to carry out path tracking for underactuated ships in presence of parameter variations and external disturbances induced by wind, wave and current. First, the optimal DES reference trajectories are designed for the sway displacement and the yaw angle. Then, by combining...

2014
Frank Woittennek Siqian Wang Torsten Knüppel

State feedback design for linear parabolic systems with in-domain actuation and general Robin boundary conditions is considered. To this end the system is shown to be state equivalent to a boundary controlled system. By means of the well established backstepping transformation this latter system is feedback equivalent to a stable parabolic equation. Within the contribution previous results conc...

2011
Ali Reza Sahab Mohammad Reza Modabbernia

Flexible manipulators are extensively used in industries. In this paper, backstepping method (BM) is used to control flexible manipulator. BM consists of parameters which accept positive values. The parameters are usually chosen variously. The system responses differently for each value. In this method, some paremeters exist, which, if not defined well, may cause some performance degrade. It is...

2015
Marin Kobilarov

Backstepping is a nonlinear control design tool for underactuated systems. Backstepping is used for output stabilization or tracking using feedback similarly to feedback linearization. In feedback linearization the stabilizing controller is designed entirely for a virtual input which is then mapped back to the physical input by completely canceling nonlinearities. In backstepping the system is ...

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