This paper presents a modern approach of speed control for permanent magnet synchronous motor (PMSM) applied for electric vehicle using a nonlinear control. The regulation algorithms are based on the input-output feed...
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ISBN:
(纸本)9780780397606
This paper presents a modern approach of speed control for permanent magnet synchronous motor (PMSM) applied for electric vehicle using a nonlinear control. The regulation algorithms are based on the input-output feedback linearization technique. The direct component of the current is controlled to be zero which insures the maximum torque operation. The near unity power factor operation is also achieved. Moreover, among EV's motor electric propulsion features, the energy efficiency is a basic characteristic that is influenced by vehicle dynamics and system architecture. For this reason, the EV dynamics are taken into account. Simulation tests have been carried out on a 19.8-kW EV PMSM drive to evaluate the consistency and the performance of the proposed control approach.
The inverted cart-pendulum provides interesting examples of nonlinear non-minimum phase systems. In this paper, as a matter of fact, a new approach to the output control for the inverted cart-pendulum is introduced. F...
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ISBN:
(纸本)9781479929542
The inverted cart-pendulum provides interesting examples of nonlinear non-minimum phase systems. In this paper, as a matter of fact, a new approach to the output control for the inverted cart-pendulum is introduced. First, the inverted cart pendulum model is approximated by another singular perturbed system: the boundary-layer subsystem and the reduced subsystem. For the boundary-layer subsystem, the inputoutputlinearization is used. But the reduced subsystem is stabilized by the predictive control. After all, the simulation results are presented to demonstrate the efficiency of the proposed approach.
Basing on input-output linearization strategy, a model of the flexible manipulator can be decomposed into an input-output subsystem and a zero-dynamics subsystem A fuzzy control is used to input-output subsystem. By a...
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ISBN:
(纸本)9781424415304
Basing on input-output linearization strategy, a model of the flexible manipulator can be decomposed into an input-output subsystem and a zero-dynamics subsystem A fuzzy control is used to input-output subsystem. By analyzing the relationship between the eigenvalues of the zero-dynamics subsystem and the designed parameters in the output of the redefined system, the designed parameters are determined, and guarantee the zero-dynamics to be asymptotically stable at equilibrium point, thus guarantee the whole flexible manipulator system to be asymptotically stable.
In this paper, a fuzzy controller enhanced with a H-infinity control component is proposed to deal with unmodeled uncertainties for a class of continuous nonlinear systems. The uncertainties are due to fuzzy approxima...
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ISBN:
(纸本)0780367332
In this paper, a fuzzy controller enhanced with a H-infinity control component is proposed to deal with unmodeled uncertainties for a class of continuous nonlinear systems. The uncertainties are due to fuzzy approximation error and external disturbances. First, we represent the nonlinear plant with a Takagi-Sugeno fuzzy system. Then, a fuzzy controller is designed applying the so-called "input-output linearization" concept. However, this controller can not guarantee robustness in the presence of uncertainties. In order to deal with this problem, an additive H-infinity control component is added to the fuzzy controller to attenuate uncertainty influence on control performances. Finally, in order to demonstrate the feasibility of the proposed methodology, a real-time implementation for controlling a robot wrist is presented.
Engine-based traction control marks a paradigm shift for electronic stability systems in the automotive industry. It enables traction control systems with higher bandwidth and performance by an architectural change. A...
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Engine-based traction control marks a paradigm shift for electronic stability systems in the automotive industry. It enables traction control systems with higher bandwidth and performance by an architectural change. As a new approach, only few work exists that considers analytic control design for engine-based traction control. This paper extends our recent work on input-output linearization for engine-based traction control. Global, exponential stability for arbitrary vehicle parameters and time-varying road adhesion coefficients is shown for the first time. Experiments in a test vehicle compare the proposed design with different traction control systems. It is shown that on the considered maneuver, the control design achieves superior tracking performance, disturbance attenutItion and damping of drivetrain oscillations. Copyright (C) 2020 The Authors.
Using the state-space average modeling method,a nonlinear affine model of Buck-Boost converter is set *** on the input-output linearization method of differential geometry theory,the internal dynamics of the systems,w...
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Using the state-space average modeling method,a nonlinear affine model of Buck-Boost converter is set *** on the input-output linearization method of differential geometry theory,the internal dynamics of the systems,with output represented by inductor current and capacitor voltage respectively,are been *** is pointed out that the average PWM model of the 'Buck-Boost' converter,with output represented by the average capacitor voltage,is actually a nonminimum phase system,and its internal dynamics is ***,it is unfeasible to control the output voltage ***,if the output is represented by the average inductor current,the system is a minimum phase system,and its internal dynamics is asymptotically *** is feasible to control the output voltage indirect through the regulation of inductor ***,the nonlinear state feedback law is *** control law proposed in this paper has some advantages of being simple,easy to *** validity of the indirect output capacitor voltage control scheme using input-output feedback linearization method is verified by numerical simulation *** waveforms based on simulated extensive work verify the superiority of the proposed nonlinear control method.
This paper presents the analysis and design of a PWM nonlinear digital control of a buck converter based on input-output linearization. The control employs a discrete-time bilinear model of the power converter for con...
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This paper presents the analysis and design of a PWM nonlinear digital control of a buck converter based on input-output linearization. The control employs a discrete-time bilinear model of the power converter for continuous conduction mode operation (CCM) to create an internal current control loop wherein the inductor current error with respect to its reference decreases to zero in geometric progression. This internal loop is as a constant frequency discrete-time sliding mode control loop with a parameter that allows adjusting how fast the error is driven to zero. Subsequently, an outer voltage loop designed by linear techniques provides the reference of the inner current loop to regulate the converter output voltage. The two-loop control offers a fast transient response and a high regulation degree of the output voltage in front of reference changes and disturbances in the input voltage and output load. The experimental results are in good agreement with both theoretical predictions and PSIM simulations.
A novel input-output linearization minimum sliding mode error feedback control (I/OMS-MEFC) is proposed for the synchronization between two uncoupled FitzHugh-Nagumo (FHN) neurons with different ionic currents and ext...
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A novel input-output linearization minimum sliding mode error feedback control (I/OMS-MEFC) is proposed for the synchronization between two uncoupled FitzHugh-Nagumo (FHN) neurons with different ionic currents and external electrical stimulations. To estimate and offset the system uncertainties and external disturbances, the concept of equivalent control error is introduced, which is the key to utilization of I/OMSMEFC. A cost function is formulated on the basis of the principle of minimum sliding mode covariance constraint;then the equivalent control error is estimated and fed back. It is shown that the proposed I/OMSMEFC can compensate various kinds of system uncertainties and external disturbances. Meanwhile, it can reduce the steady-state error more than the conventional sliding mode control (SMC). In addition, the sliding mode after the I/OMS-MEFC will tend to be the ideal SMC, resulting in improved control performance and quantity. Sufficient conditions are given based on the Lyapunov stability theorem and numerical simulations are performed to verify the effectiveness of presented I/OMSMEFC for the chaotic synchronization accurately.
This paper presents an approximate input-output linearization approach for nonminimum phase nonlinear systems with linear unforced dynamics. A special Byrnes Isidori normal form is introduced, where the internal dynam...
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This paper presents an approximate input-output linearization approach for nonminimum phase nonlinear systems with linear unforced dynamics. A special Byrnes Isidori normal form is introduced, where the internal dynamics are not affected by the inputs up to second order such that the corresponding transformation can be obtained by solving linear equations. After a factorization of the internal dynamics into a stable and into an antistable part a quadratic linear and internally stable input-output behaviour is achieved by state feedback in explicit form.
This paper exposes two different possible definitions of input-output linearization of nonlinear systems and gives the corresponding necessary and sufficient conditions for their solvability. Cet article présente...
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This paper exposes two different possible definitions of input-output linearization of nonlinear systems and gives the corresponding necessary and sufficient conditions for their solvability. Cet article présente deux définitions de linéarisation entrée-sortie pour les systèmes non linéaires et donne les conditions nécessaires et suffisantes de résolution des problèmes de synthèse correspondants.
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