Using adaptive Lyapunov design a new approach for the design of an observer for speed sensorless control is developed. The resulting scheme leads to a nonlinear full order observer for the motor states and for the mot...
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Using adaptive Lyapunov design a new approach for the design of an observer for speed sensorless control is developed. The resulting scheme leads to a nonlinear full order observer for the motor states and for the motor and inverter parameters including the rotor speed. Assuming motor parameters are known, the design achieves stability with a guaranteed region of attraction. Experiments demonstrate high dynamic performance even at zero rotor speed based only on the slip frequency caused by the load torque.
The application of vector control techniques in AC drives demands accurate position and speed feedback information for the current control and servo-control loops. The paper describes a digital sensorless speed contro...
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The application of vector control techniques in AC drives demands accurate position and speed feedback information for the current control and servo-control loops. The paper describes a digital sensorless speed control system for interior permanent magnet synchronous machines (IPMSM). A Kalman filter is used to estimate the mechanical state of the motor. The observer was developed using a nonlinear model of the synchronous motor based on a d-q rotating reference frame attached to the rotor. The stator flux and electromagnetic torque are controlled by nonlinear hysteresis controllers; their outputs are used to generate the control signals for the inverter, based on a switching table. The angular speed controller is linear, of integral + proportional integral (I + PI) type. The paper studies the interaction between the observer and the closed loop control system. The simulation shows that the dynamic behaviour of the Kalman filter based control system is good even if the electric and mechanical parameters of the machine are different from the rated values used for the design of the controllers and the Kalman filter and also if there is an incorrect initialization of the estimated position.
It has been shown that synchronization between two nonlinear systems can be studied as a control theory problem. We show that this relationship can be extended to synchronization in coupled arrays of nonlinear systems...
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An adaptive observer scheme for estimation of unknown disturbances in a nonlinear non-minimum phase time-invariant, single-input single-output control system is proposed. It is assumed that the disturbances are genera...
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ISBN:
(纸本)0780370902
An adaptive observer scheme for estimation of unknown disturbances in a nonlinear non-minimum phase time-invariant, single-input single-output control system is proposed. It is assumed that the disturbances are generated by a system with unknown parameters, which are identified by the adaptive observer. The design is based on coprime factorization of the plant model over the ring of stable rational functions. Comparison between adaptive observers for strictly positive real plant and the proposed scheme is shown, as well. The stability of the overall system is proved. The effectiveness of the proposed scheme is verified through simulation examples.
This study proposes the sliding mode controller with perturbation observer for a 6-DOF parallel manipulator-in the presence of nonlinear and uncertainty terms. The controller is based on Lyapunov approach and the pert...
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ISBN:
(纸本)0780370902
This study proposes the sliding mode controller with perturbation observer for a 6-DOF parallel manipulator-in the presence of nonlinear and uncertainty terms. The controller is based on Lyapunov approach and the perturbation observer is based on the fuzzy adaptive network This observer utilizes the control input for compensating unmodeled dynamics terms and disturbance. And, the weighting parameters of the fuzzy adaptive network are updated on-line by adaptive law in order to force the estimation errors to converge to zero. Therefore, the combination of sliding mode control and fuzzy adaptive network gives rise to the robust and intelligent routine. For evaluating control performance of the proposed approach, tracking control simulation is carried out for a 6-DOF parallel manipulator.
In this paper, the adaptive control problem is studied for a class of discrete-time unknown nonlinear systems with general relative degree in the presence of bounded disturbances. To derive the feedback control, a cau...
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ISBN:
(纸本)0780367227
In this paper, the adaptive control problem is studied for a class of discrete-time unknown nonlinear systems with general relative degree in the presence of bounded disturbances. To derive the feedback control, a causal state-space model of the plant is obtained. By using an NN observer to estimate the unavailable but predictable states of the system, a Lyapunov-based adaptive state feedback NN controller is proposed. The state feedback control avoids the possible singularity problem in adaptive nonlinearcontrol. The closed-loop system is proven to be semi-globally uniformly ultimately bounded (SGUUB). An arbitrarily small tracking error can be achieved if the size of neural networks is chosen large enough, and the control performance of the closed-loop system is guaranteed by suitably choosing the design parameters.
This paper designs a nonlinear feedback controller for Phase-Locked Loop (PLL) induction motor drive using passivity-based control (PBC) principle. First, the dynamics of induction motor is described as Euler-Lagrange...
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This paper designs a nonlinear feedback controller for Phase-Locked Loop (PLL) induction motor drive using passivity-based control (PBC) principle. First, the dynamics of induction motor is described as Euler-Lagrange form. The PLL technique is introduced for the speed control to obtain precise steady speed. The reference (steady-state) behavior for all state variables are defined according to the dynamics of PLL and field orientation strategy. The best advantage of the feedback controller by passivity-based control principle is the global stability since the energy balance equation of induction motor is used. As the dynamic of PLL is taken into consideration in the design procedure, this stability indicates that lock-in of PLL is ensured in spite of the nonlinear characteristics of PLL. Since the same idea as field orientation strategy is used, the same performance as field orientation is obtained. However, the rotor flux observer is not needed any more. On the basis of the nonlinear feedback controller, a nonlinear state observer and adaptive scheme for rotor resistance and load torque are also designed. Some simulation results illustrate the performance of this PBC system.
A vehicle dynamics control system has been developed in this study for improving vehicle dynamic stability under critical lateral motions. The system consists of a feedforward controller, a state feedback controller, ...
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A vehicle dynamics control system has been developed in this study for improving vehicle dynamic stability under critical lateral motions. The system consists of a feedforward controller, a state feedback controller, and an estimator for the body sideslip angle. The linear quadratic regulator theory has been exploited for the state feedback gain, and for estimation of the body sideslip angle, a nonlinearobserver has been developed. Simulations have been conducted to evaluate the performance of the closed loop system under various driving conditions, and the results will be presented in this paper. (C) 2001 Society of Automotive Engineers of Japan, Inc. and Elsevier Science B.V. All rights reserved.
It has been shown that synchronization between two nonlinear systems can be studied as a control theory problem. We show that this relationship can be extended to synchronization in coupled arrays of nonlinear systems...
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ISBN:
(纸本)0780366859
It has been shown that synchronization between two nonlinear systems can be studied as a control theory problem. We show that this relationship can be extended to synchronization in coupled arrays of nonlinear systems. In particular, we extend several stability conditions to synchronization criteria in arbitrarily coupled arrays: the passivity criterion, the circle criterion and a result on observerdesign of Lipschitz nonlinear systems.
An adaptive observer scheme for the estimation of unknown disturbances in a nonlinear nonminimum phase time-invariant, single-input single-output control system is proposed. It is assumed that the disturbances are gen...
详细信息
ISBN:
(纸本)0780370902
An adaptive observer scheme for the estimation of unknown disturbances in a nonlinear nonminimum phase time-invariant, single-input single-output control system is proposed. It is assumed that the disturbances are generated by a system with unknown parameters, which are identified by the adaptive observer. The design is based on coprime factorization of the plant model over the ring of stable rational functions. Comparison between adaptive observers for strictly positive real plant and the proposed scheme is shown, as well. The stability of the overall system is proved. The effectiveness of the proposed scheme is verified through simulation examples.
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