In real life applications, two-wheeled robots are considered to carry payloads of different sizes and at different positions or motion speeds the vertical axis. Studying the impact of those parameters should be consid...
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In real life applications, two-wheeled robots are considered to carry payloads of different sizes and at different positions or motion speeds the vertical axis. Studying the impact of those parameters should be considered in detail in order to account for their impact on the robot stability and the control mechanism. This paper investigates the impact of changing the payload position dynamically; on the system damping characteristics while the robot in its balancing state.
In this paper a method that integrates neural networks (NN) and independent component analysis (ICA) is used to detect faults in non-linear plants. The neural networks are used to calculate a non-linear and dynamic mo...
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In this paper a method that integrates neural networks (NN) and independent component analysis (ICA) is used to detect faults in non-linear plants. The neural networks are used to calculate a non-linear and dynamic model of the process in normal operation conditions. ICA is used to monitor and to detect faults in the process using, instead of the measured variables of the process, the residuals calculated as the difference between the process measurements and the output of the networks. This technique has been applied in simulation to a benchmark of the biological wastewater treatment process, a highly non-linear process. In order to prove the advantages of using this monitoring technique called NNICA, a comparison with the classical PCA and ICA methods is carried out in the paper.
An adaptive sliding mode position control for induction motors using field oriented control theory is presented. The proposed sliding-mode control law incorporates an adaptive switching gain to avoid calculating an up...
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ISBN:
(纸本)9781479930111
An adaptive sliding mode position control for induction motors using field oriented control theory is presented. The proposed sliding-mode control law incorporates an adaptive switching gain to avoid calculating an upper limit of the system uncertainties. The design incorporates a flux estimator that operates on the principle of flux and current observer. The proposed observer is basically an estimator that uses a plant model and a feedback loop with measured stator voltages and currents. The stability analysis of the proposed controller under parameter uncertainties and load disturbances is provided using the Lyapunov stability theory. Finally experimental results show that the proposed controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances.
When dealing with road traffic modeling, one problem is given by the difficulty of modeling the dynamics of a vehicle/group of vehicles from the time it enters a road section until it reaches the end. Besides, road tr...
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When dealing with road traffic modeling, one problem is given by the difficulty of modeling the dynamics of a vehicle/group of vehicles from the time it enters a road section until it reaches the end. Besides, road traffic, seen as a complex dynamic process, is difficult to be characterized by fixed values. Therefore, this paper proposes a solution using fuzzy logic control, which by analyzing the occupancy of a section, establishes a number of linguistic features. For modeling the behavior of the road section the macroscopic approach is used.
This paper presents a modular fuzzy logic control structure with spiral dynamic algorithms (SDAs) and their application in controlling a stair climbing wheelchair specifically in descending task. To ensure smooth and ...
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This paper presents a modular fuzzy logic control structure with spiral dynamic algorithms (SDAs) and their application in controlling a stair climbing wheelchair specifically in descending task. To ensure smooth and stable stair descending operation using a wheelchair without collapsing or slipping is a very challenging problem. Suitable design and control strategies need to be adopted to achieve the goal. The wheelchair system is developed using link/cluster rotation mechanism within a CAD software called Visual Nastran 4D (VN4D) and integrated with MATLAB for the ascending and descending motion control. A new spiral dynamics algorithm based fuzzy logic control is used to optimize the control parameters to improve its performance in terms of seat/tilt angle and wheels position. A comparison of heuristic (trial and error) method and SDA approach is presented in assessing the performance of the wheelchair in stair climbing operation.
One approach based on AC20-128A is presented in order to assess the risk caused by uncontained engine rotor failure (UERF). In this approach, the risk assessment procedure includes hazard identification and hazard qua...
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A suboptimal approach to distributed robust MPC for uncertain systems consisting of polytopic subsystems with coupled dynamics subject to both state and input constraints is proposed. The approach applies the dynamic ...
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Current automation systems need to be able to cope with the continuously changing requirements of the applications in terms of complexity, extensibility and dynamism. To match these challenging requirements, modern au...
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Current automation systems need to be able to cope with the continuously changing requirements of the applications in terms of complexity, extensibility and dynamism. To match these challenging requirements, modern automation systems need to incorporate new software engineering techniques. These techniques must provide to the automation systems additional abilities such as diagnosis and reconfiguration. This paper describes an approach for the design of a Multi-Agent system (MAS) based supervisory architecture towards the design of reconfigurable automation systems; the reconfigured system will meet Quality of Service (QoS) requirements. In particular, in this paper the core of the supervisory architecture is presented. It is based on refreshing states and moving functionalities among the Programmable Logic controllers (PLCs). Besides, the agents negotiate if a PLC failure is detected.
Recently the control methods based on disturbance rejection have largely renewed our understanding of automaticcontrol, especially the role of feedforward control. With the renewed understanding, this work presents a...
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Recently the control methods based on disturbance rejection have largely renewed our understanding of automaticcontrol, especially the role of feedforward control. With the renewed understanding, this work presents a feedforward and feedback approach for control of general dynamic systems under a state tracking framework. This is realized by introducing a fictitious system model and employing a proper state and disturbance estimator. The resultant control scheme embodies a close cooperation between feedforward and feedback controls: Feedforward control rejects the general disturbance and embeds a reference state trajectory, whilst feedback control cancels the fictitious dynamics and enforces desired tracking error dynamics. A notable advantage of the approach is that control designs of linear and nonlinear systems can follow a common routine and the closed-loop stability is guaranteed under standard conditions.
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques...
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques helps to meet these demanding requirements, but at the same time increase the complexity of the systems. This paper presents a supervisor architecture that allows maintaining the availability of a controlsystem in spite of failures such as a node crash, by means of reconfigurations at the control level. To do this, the advantages that Model-Driven Development technology provides have been explored.
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