As a new service-oriented network manufacturing model, cloud manufacturing (CMfg) can accelerate the transformation from production-oriented to service-oriented manufacturing. Study of resource service transaction (RS...
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A two-dimensional (2-D) system theory based iterative learning control (ILC) method for a class of linear discrete-time multivariable systems is presented in this paper. Practical ILC schemes comprise of a feed-forwar...
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A two-dimensional (2-D) system theory based iterative learning control (ILC) method for a class of linear discrete-time multivariable systems is presented in this paper. Practical ILC schemes comprise of a feed-forward learning controller along with feedback controllers for improved stability and convergence, termed as feedback assisted iterative learning control (FAILC). As a general format we consider that FAILC comprises a learning controller for betterment along iteration axis and two feedback controllers, a state feedback controller and a dynamic error compensator for robustness and convergence along time axis. A 2-D Roesser's model for a class of learning controllers is established, which reveals the connections between ILC systems and 2-D system theory. By proper transformation of FAILC system into a 2-D system model, certain fundamental results from the stabilization of 2-D systems can be successfully utilized for the FAILC design. Simple methods are adopted for the learning gain matrix calculation, by solving two decoupled lower dimensional Riccati equations. The proposed method reduces the complexity of the learning controller design, robust with respect to the small perturbations of the system parameters and with variable initial conditions. The proposed learning algorithm is applied to the injection molding velocity control problem and the results show the effectiveness of the design procedure.
The paper contributes to the derivation and analysis of accelerations in freeway traffic flow models. First, a solution based on fluid dynamics and on pure mathematical manipulations is given to express accelerations....
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The paper contributes to the derivation and analysis of accelerations in freeway traffic flow models. First, a solution based on fluid dynamics and on pure mathematical manipulations is given to express accelerations. The continuous-time acceleration is then approximated by a discrete-time equivalent. By applying continues time microscopic and macroscopic traffic flow velocity definitions, spatial and material derivatives are used to describe the continuous-time and exact changes in the velocity vector field. A forward-difference Euler method is proposed to discretized the acceleration both in time and space. For applicability purposes the use of average quantities is proposed. The finite-difference approximation by space-mean speed is shown to be consistent, and its solution is convergent to the original continuous-time form. As an alternative, the acceleration obtained from a second-order macroscopic freeway model by means of physical interpretation [1] is analyzed and found to be an appropriate discrete approximations. Comparative remarks as well as future research questions conclude the paper.
The aim of the paper is to present a multi-layer supervisory architecture for the design and development of integrated control systems in road vehicles. The performance specifications are guaranteed by the local contr...
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The aim of the paper is to present a multi-layer supervisory architecture for the design and development of integrated control systems in road vehicles. The performance specifications are guaranteed by the local controllers, while the coordination of these components is provided by the supervisor. Since monitoring components and the FDI filters provide the supervisor with information about the various vehicle maneuvers and the different fault operations, it is able to make decisions about the necessary interventions into the vehicle motions and guarantee the reconfigurable and fault-tolerant operation of the vehicle. The advantage of this architecture is that local controllers are designed independently provided that the monitoring and fault signals are taken into consideration in the formalization of their performance specifications. The design of local controllers are based on LPV methods.
Feedback delays are inherent attributes of distributed control systems that usually cause unfavorable effect on the stability of the controlled process. Modelling of such systems is essential for traceable controller ...
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Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is...
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ISBN:
(纸本)9781424456062;9789746724913
Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.
This paper presents a new combination of algorithms to allow coordinated movement of groups of autonomous systems in formation. A key feature of the work we will present here is a number of specific sets of fuzzy algo...
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This paper presents a new combination of algorithms to allow coordinated movement of groups of autonomous systems in formation. A key feature of the work we will present here is a number of specific sets of fuzzy algorithms that, in combination, allow a movement in formation in 3D environments simply based on sensor inputs in a purely reactive manner. This approach is combined with a global optimization realized by using mixed integer programming to allow well planned actions of the formations with automatic avoidance of situations in which the stability of the formation could not be assured. For the combination of these two different algorithms and the possibility to extend these two with other algorithms to fulfill complicated mission tasks we we present a specific control architecture that allows to run several algorithms in parallel during a mission and to select the best performing one as the one that is controlling the autonomous vehicle.
In haptic and telemanipulation devices stability and transparency are contradicting requirements. Due to the network delay the control process may become unstable. In our research we consider the coupled impedance typ...
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Improving the control of shading blinds, lights, natural ventilation, and HVAC systems while satisfying human comfort requirements can result in significant energy cost savings with time-of-day electricity pricing. Tr...
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A two-step fault detection theory, which consists of residual Chi-square Test and velocity detection based on robust differentiation via sliding mode, is presented. Simulation indicated that with this method excellent...
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A two-step fault detection theory, which consists of residual Chi-square Test and velocity detection based on robust differentiation via sliding mode, is presented. Simulation indicated that with this method excellent detection results were achieved, when step fault or slowly growing slope fault occurs within GPS signal.
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