An adaptive fuzzy logic system is incorporated with the Varibale Structure control (VSC) system for the purpose of improving the performance of the control system. A sliding surface with an additional tunable paramete...
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In this paper, robust force/motion control strategies are presented for mobile manipulators under both holonomic and nonholonomic constraints in the presence of uncertainties and disturbances. Robust controls are prop...
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In this paper, robust force/motion control strategies are presented for mobile manipulators under both holonomic and nonholonomic constraints in the presence of uncertainties and disturbances. Robust controls are proposed based on a simplified dynamic model, the defined reference signals and the mixed tracking errors. The proposed control strategies guarantee that the system motion converges to the desired manifold with prescribed performance. Constraint force control is developed, which does not utilize force feedback control but is based on the passivity of hybrid joint. Experiment results validate not only the states of the system asymptotically converge to the desired trajectory but also the constraint force asymptotically converges to the desired force
To perform fault studies (e.g., fault detection, diagnosis, and mitigation) via Internet for a remote automation line, operation time is an important feature/symptom for human supervisors. This paper introduces the ap...
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To perform fault studies (e.g., fault detection, diagnosis, and mitigation) via Internet for a remote automation line, operation time is an important feature/symptom for human supervisors. This paper introduces the application of timed Petri nets (TPN) to model a high-throughput screening (HTS) process, and extends the timed transition based on the dynamics of the automated process. This paper describes the design methodologies of TPN to model the dynamics of the HTS process with and without anomalies. Finally, both healthy and faulty conditions of an automated biological/chemical screening line are simulated in Matlab/Simulink to demonstrate the effectiveness of the proposed TPN modelling
In wastewater treatment plants (WWTPs) equipped with sludge digestion and dewatering systems, the reject water originating from these facilities contributes significantly to the nitrogen load of the activated sludge t...
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Robots are complex mechatronics systems where several electric drives are employed to control the movement of articulated structures. In industrial environments they must perform tasks with rapidity and accuracy in or...
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Robots are complex mechatronics systems where several electric drives are employed to control the movement of articulated structures. In industrial environments they must perform tasks with rapidity and accuracy in order to produce goods and services with minimal production time. These procedures require the use of flexible robots which can act in a large workspace, thus subjected to important parameters variations and nonlinear dynamics effects. This paper investigates the fractional order dynamics during the evolution of trajectories of three robotic joints, considering the complete system dynamics.
Aiming at improving the efficiency of the multi-robot exploration, this paper presents a novel auction algorithm based on the contact net protocol of the multi-agent theory. On the basis of the analysis of the limitat...
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Aiming at improving the efficiency of the multi-robot exploration, this paper presents a novel auction algorithm based on the contact net protocol of the multi-agent theory. On the basis of the analysis of the limitations of the usual auction methods to the multi-robot exploration, the contract net protocol in the multi-agent theory is presented to design a completely distributive structure for the multi-robot exploration in order to increase the tolerance and reliability of the whole system. Then an improved multi-round single-item auction algorithm is presented to assign the frontiers to the multiple robots effectively. The theoretical analysis and the simulation experiments prove that the algorithm can lead to the effective coordination of multi-robot exploration with the decreasing computation compared to the combinatorial auctions
Despite of promising results in research, advanced control strategies fail to gain trust in wastewater treatment practice. Due to the sensitivity of the biological processes to disturbances, operators are often unable...
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ISBN:
(纸本)1424308526
Despite of promising results in research, advanced control strategies fail to gain trust in wastewater treatment practice. Due to the sensitivity of the biological processes to disturbances, operators are often unable to find the causes of faults due to the lack of effective real-time on-line monitoring. Strategies for on-line monitoring are therefore essential to enhance biological processcontrol. Therefore, a suitable multivariate soft-sensor is desired for fault detection and control for a pilot-scale sequencing batch reactor (SBR) system to allow effluent quality to be estimated well before off-line analysis is finished. For this purpose, several multivariate methods are available, including (linear) partial least squares (PLS), Neural Net PLS (NNPLS) and Kernel PLS (KPLS). While non-linear extensions of PLS such as NNPLS require fitting of non-linear functions, KPLS does not. KPLS is based on a non-linear transformation of the process data, followed by the fitting of a linear PLS model between the transformed inputs and outputs. PLS, NNPLS and KPLS were compared regarding their ability to predict effluent quality data and their computational requirements. While (linear) PLS and NNPLS lead to acceptable prediction, KPLS results in poor model performance. Moreover, the computational requirement of KPLS were large compared to PLS and NNPLS. When comparing PLS and NNPLS to each other, it was found that NNPLS leads to the best possible prediction given the experimental data set, while the extra computational requirements are minimal.
This paper presents ongoing work focused on dynamic reconfiguration of industrial automation systems as a part of their total life cycle. Modification of the control logic has to be enabled at runtime and without any ...
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This paper presents ongoing work focused on dynamic reconfiguration of industrial automation systems as a part of their total life cycle. Modification of the control logic has to be enabled at runtime and without any disturbances of related applications. The epsivCEDAC engineering cycle for dynamic system evolution is based on the use of an IEC 61499 reconfiguration application responsible for the dynamic transformation of the program during its execution. The verification of this evolution step takes the central role in this engineering cycle. The paper discusses the general requirements for this kind of verification. Especially the capabilities of the automation system - the used hardware and software - form a major point. The paper describes the basic concepts and ongoing work regarding the verification of downtimeless system evolution.
In this paper, an observer-based direct adaptive fuzzy-neural controller (ODAFNC) for an anti-lock braking system (ABS) is developed under the constraint that only the system output, i.e., the wheel slip ratio, is mea...
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