To reduce the risk of field debugging and to improve the adaptability and reliability of actual automation systems, a simulation experiment platform based on cloud manufacturing was designed for sintering process of i...
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To reduce the risk of field debugging and to improve the adaptability and reliability of actual automation systems, a simulation experiment platform based on cloud manufacturing was designed for sintering process of iron and steel manufacturing. Taking Programmable Logic controller(PLC) group, Distributed control System(DCS) group, server group and database group as physical resource layer, and taking various virtual control objects and optimization models of sintering processes as virtual resource layer, the cloud services such as semi physical simulation, operation parameter verification, produce process simulation and process study of sintering processes' optimal control system were provided by facing cloud access terminal users such as steel manufacturing enterprises, research and design institutions. The automatic material thickness control system in segregation feeding process of sintering production was taken as an example to verify the effectiveness of simulation experiment platform.
To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presen...
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To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presented based on the common Lyapunov function method and the adaptive backstepping method. This approach combines the features of adaptive backstepping control and the design requirements of a common Lyapunov function, and the adaptive controller for every sub-system and the parameter adaptive estimators for the uncertainty upper bound are designed by backstepping control, then taking the Lyapunov function designed by backstepping as a common Lyapunov function to ensure that the system is asymptotically stable under arbitrary switching. It is easy to select the common Lyapunov function by the combination of backstepping and the common Lyapunov function method, and the problem of parameter jumping and parameter slow time-varying existing at the same time is solved. Simulation results demonstrate that the designed controllers can ensure not only good dynamic and static performance for the hydraulic servo position system of a rolling mill, but also good robustness for the system parameter jumping and parameter slow time-varying.
The guaranteed cost control for a class of uncertain discrete-time networked control systems with random delays is addressed. The sensor-to-controller (S-C) and contraller-to-actuator (C-A) random network-induced ...
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The guaranteed cost control for a class of uncertain discrete-time networked control systems with random delays is addressed. The sensor-to-controller (S-C) and contraller-to-actuator (C-A) random network-induced delays are modeled as two Markov chains. The focus is on the design of a two-mode-dependent guar- anteed cost controller, which depends on both the current S-C delay and the most recently available C-A delay. The resulting closed-loop systems are special jump linear systems. Sufficient conditions for existence of guaranteed cost controller and an upper bound of cost function are established based on stochastic Lyapunov-Krasovakii functions and linear matrix inequality (LMI) approach. A simulation example illustrates the effectiveness of the proposed method.
In this paper, the H_2 optimal state-feedback control problem is investigated for discrete-time Markov jump systems subject to periodic coefficients and multiplicative noise. First of all, an exhaustive analysis is pu...
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ISBN:
(纸本)9781457710957
In this paper, the H_2 optimal state-feedback control problem is investigated for discrete-time Markov jump systems subject to periodic coefficients and multiplicative noise. First of all, an exhaustive analysis is pursued to set up an H_2 performance criterion (H_2 norm), which can be characterized by the periodic solutions of two generalized Lyapunov equations. Based on the obtained H_2 norm, the H_2 optimal state-feedback controller is designed in terms of the stabilizing solution of a discrete-time generalized Riccati equation with periodic coefficients. Moreover, this stabilizing solution can be computed efficiently by the available iterative algorithm.
Aiming at the problems that accurate motion tracking of infrared object is hard in complex background by using a single algorithm, a new infrared object tracking method which combines scale unscented Kalman filter (SU...
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Aiming at the problems that accurate motion tracking of infrared object is hard in complex background by using a single algorithm, a new infrared object tracking method which combines scale unscented Kalman filter (SUKF) and scale invariant feature transform (SIFT) is proposed. Firstly, SUKF can estimate the state of unknown system, and the position of object center is located, and then the local detection area with SIFT feature is identified. Secondly, the features of object are obtained and matched by SIFT algorithm in this local area. Finally, the object center is accurately located by SIFT algorithm, and the state model of SUKF is updated and corrected by the final location. Compared with the related methods, the proposed tracking strategy based on SUKF-SIFT has better tracking results and real-time performance.
In this paper, we first investigate input passivity and output passivity for a class of impulsive complex networks with time-varying delays. By constructing suitable Lyapunov functionals, some input passivity and outp...
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In this paper, we first investigate input passivity and output passivity for a class of impulsive complex networks with time-varying delays. By constructing suitable Lyapunov functionals, some input passivity and output passivity conditions are derived for the impulsive complex networks. Finally, an example is given to show the effectiveness of the proposed criteria.
Intelligent Pneumatic Actuators (IPA) is a new generation of actuator for Research and Development (R&D). The purpose of this paper is to present the System Identification (SI) technique and procedure for the IPA ...
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Intelligent Pneumatic Actuators (IPA) is a new generation of actuator for Research and Development (R&D). The purpose of this paper is to present the System Identification (SI) technique and procedure for the IPA system. System identification is used to obtain the mathematical model (transfer function) of the IPA system from the measured experimental data. Flow for the SI procedure starts with experimental setup, model structure selection, model estimation, model validation and finally testing with basic controller to prove the operation of IPA system. Auto Regressive with Exogenous Input (ARX) model is chosen as model structure of the system. Based on the input and output data of the system (model validation), best fit criterion and correlation analysis of the residual is analyzed to determine the adequate model to represent the IPA system. The result from SI model shows linear discrete model in order to obtain a discrete transfer function for the IPA system.
This paper investigates the boost phase's longitudinal autopilot of a ballistic missile equipped with thrust vector control. The existing longitudinal autopilot employs time-invariant passive resistor-inductor-capaci...
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This paper investigates the boost phase's longitudinal autopilot of a ballistic missile equipped with thrust vector control. The existing longitudinal autopilot employs time-invariant passive resistor-inductor-capacitor (RLC) network compensator as a control strategy, which does not take into account the time-varying missile dynamics. This may cause the closed-loop system instability in the presence of large disturbance and dynamics uncertainty. Therefore, the existing controller should be redesigned to achieve more stable vehicle response. In this paper, based on gain-scheduling adaptive control strategy, two different types of optimal controllers are proposed. The first controller is gain-scheduled optimal tuning-proportional-integral-derivative (PID) with actuator constraints, which supplies better response but requires a priori knowledge of the system dynamics. Moreover, the controller has oscillatory response in the presence of dynamic uncertainty. Taking this into account, gain-scheduled optimal linear quadratic (LQ) in conjunction with optimal tuning-compensator offers the greatest scope for controller improvement in the presence of dynamic uncertainty and large disturbance. The latter controller is tested through various scenarios for the validated nonlinear dynamic flight model of the real ballistic missile system with autopilot exposed to external disturbances.
This paper proposes a robust control scheme that prevents an autonomous 4WS4WD vehicle from lane departure and wheel skidding in presence of road curvature and aerodynamic drag. The control objectives can be specified...
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ISBN:
(纸本)9781457710957
This paper proposes a robust control scheme that prevents an autonomous 4WS4WD vehicle from lane departure and wheel skidding in presence of road curvature and aerodynamic drag. The control objectives can be specified as various closed-loop specifications, such as lane keeping, wheel slip constraint and disturbance attenuation. An LMI approach is used to deal with these objectives simultaneously, which combines the quadratic stabilization technique with constraints on inputs. Simulation results show that the proposed controller effectively limits the combined wheel slip and improves the lane keeping performance.
This paper presents a parameter identification method with nonlinear ordinary differential equation (ODE) model for electro-hydraulic servo systems (EHSS) based on Matlab toolbox, in which the values of known paramete...
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