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An electronic throttle is a nonlinear hysteretic brushless-dc-motor-driven valve that regulates air inflow into the combustion system of the engine. The throttle control system should ensure fast and accurate reference tracking of the valve plate angle while preventing excessive wear of the throttle components by constraining physical variables to their normal-operation domains. These high-quality...
Single-phase ac-dc Power Factor Correction (PFC) rectifiers have attracted considerable attention in recent years due to the adoption of increasingly stringent power quality regulations. In this paper a nonlinear model predictive controller design for a single-phase Flyback PFC rectifier is presented. After approximation of the tracking error in the receding horizon by its Taylor-series expansion...
For the complexity and difficulty problem of states feedback and measure based on exact feedback linearization method, a simplified state feedback design method without requirement of states measure is put forward. First, the nonlinear model is introduced, and is linearized through exact feedback linearization method with a state feedback law and a state transform. Second, according to the linear...
A passive adaptive control problem is studied for a class of multi-input multi-output(MIMO) nonlinear systems with unknown parametric uncertainties. The design methods of passive adaptive controllers for the class of systems are discussed respectively when unknown constant parametric matrixes of control input are positive definite and general matrixes. The passive adaptive controllers and parameter...
In this paper, an online BP neural network (BPNN) compensate control scheme based on inverse system method is presented for a class of single-input-single-output nonlinear systems. Firstly, the error between the α-th derivative of the system output and the pseudo-control is analyzed and a BPNN is designed to compensate the error. Then, an adaptive algorithm of the BPNN, designed based on the Lyapunov...
The stability of RF (radio frequency) control systems is an essential part of particle accelerator technology. In accelerators, such as heavy-ion synchrotrons, RF feedback systems are used to damp longitudinal oscillation modes of the particle beam. Longitudinal modes have been analyzed in detail by accelerator physicists and there exists a closed theory that describes most of the observed phenomena...
In this paper, a computational approach for controller design for polynomial systems with input constraints is proposed. The design is formulated as a convex optimization problem and capable of dealing with asymmetric input constraints. The idea of the method is to combine the recently introduced notion of virtual inputs and the notion of feedback passivity to obtain an optimization problem with polynomial...
For a class of multi input and multi output nonlinear uncertain systems with input coupling term, a robust feedback linearization method combined with a minimax linear quadratic regulator (LQR) control is proposed. The uncertainties in the system and the presence of input terms in the low order derivatives of the outputs due to the input coupling makes the feedback linearization a challenging task...
A nonlinear controller is designed for a L2 formation flying control system, and robust stability is investigated for the closed-loop system with uncertainties. The L2 formation flying is modeled as a second-order quasi-linear parameter-varying model, which is obtain from the nonlinear formation flying model with Barbashin method by including explicit dependence of the dynamic derivatives on states...
This paper presents a novel adaptive tracking fuzzy control scheme for a class of nonlinear system. Takagi-Sugeno (T-S) fuzzy model is employed to approximate the unknown system function. Moreover, only one parameter is necessary to be tuned online such that the complexity of the controller is reduced dramatically. All the signals in the closed-loop system is shown to be ultimately uniformly bounded,...
A new robust adaptive indirect fuzzy controller is designed based on backstepping method for a class of uncertain nonlinear systems. We proved that the final closed-loop system must be globally stable in the sense that all signals involved must be uniformly bounded and simulation results shows that the closed-loop fuzzy control system is proven to be globally stable, with tracking error converging...
This paper has presented a model of vertical take-off and landing(VTOL) unmanned air vehicle. It has four rotors, so as quadrotor aerial robot. It can hover or fly at low speed indoor or unwinded outdoor. The quadrotor aerial robot is a highly nonlinear, multivariable, strongly coupled and under-actuated subsystem because it has 6-DOF but only has four inputs. Nonlinear mathematical model of quadrotor...
This paper studies the primary control problem of a vibrating MEMS gyroscope. A nonlinear robust adaptive control scheme is proposed for the drive axis of a vibrating MEMS gyroscope with parametric uncertainties and exogenous disturbances. By combining the dynamic surface control (DSC) method with H∞ disturbance attenuation technique, a simpler systematic design procedure is developed. The derived...
In paper of the second-order nonlinear heading control system of autonomous underwater vehicle, this paper has realized partial linearization of system using the method of input - output feedback linearization. In the zero dynamic stable situation, the performance controller guaranteed is made by linearized subsystem with using linear matrix inequality. Fault-tolerant control has been realized, when...
This paper considers the problem of designing a non-fragile fault-tolerant controller for a class of nonlinear uncertain systems with time-varying delays and controller gain perturbations. Based on the Lyapunov stability theory and the linear matrix inequality (LMI) approach, a sufficient conditions to get a fault-tolerant controller is given, which results in the closed-loop system being asymptotically...
This paper studies the stabilization, L2-disturbance attenuation control and adaptive L2-disturbance attenuation control of a class of nonlinear descriptor systems, and presents a number of new results on the control designs. First, under a suitable state feedback, two sufficient conditions of impulse-free are given for the resulted closed-loop system. Then, the stabilization problem is discussed...
We investigate the decentralized networked stabilization problem for interconnected nonlinear systems via a fuzzy control approach in this paper. Some network characteristics, such as nonuniform sampling, network-induced delays and data packet dropouts, are all considered. State feedback controller is designed and sufficient conditions are derived to guarantee the asymptotic stability of whole closed-loop...
A gradient flow algorithm model developed for the on-line robust pole assignment is proposed for solving Sylvester equations. The algorithm shows to be capable of synthesizing linear feedback control systems via on-line computing feedback gain matrix and desired closed-loop poles. Meanwhile, the close-loop system matrix is least sensitive to perturbation or uncertainty, and uniformly asymptotically...
A novel multi-loop nonlinear Internal Model Control (IMC) strategy is developed for MIMO systems under the Partial Least Squares (PLS) framework, which automatically decomposes the MIMO process into several univariate systems in the latent space. The ARX-neural network (ARX-NN) model is incorporated in the PLS subspace and identified via optimizing two parameter sets so that the plant-model mismatch...
An adaptive nonlinear control method is developed for a class of completely nonaffine pure-feedback systems by the combination of back-stepping design and singular perturbation theory. This strategy can simplify the back-stepping design for the control of pure-feedback system by eliminating the problem of “explosion of complexity”. The virtual/actual control input is derived from the solution of a...
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