Reliable on line cutting tool conditioning monitoring is an essential feature of automatic machine tool and flexible manufacturing system (FMS) and computer integrated manufacturing system (CIMS). Recently artificia...Reliable on line cutting tool conditioning monitoring is an essential feature of automatic machine tool and flexible manufacturing system (FMS) and computer integrated manufacturing system (CIMS). Recently artificial neural networks (ANNs) are used for this purpose in conjunction with suitable sensory systems. The present work in Norwegian University of Science and Technology (NTNU) uses back propagation neural networks (BP) and fuzzy neural networks (FNN) to process the cutting tool state data measured with force and acoustic emission (AE) sensors, and implements a valuable on line tool condition monitoring system using the ANNs. Different ANN structures are designed and investigated to estimate the tool wear state based on the fusion of acoustic emission and force signals. Finally, four case studies are introduced for the sensing and ANN processing of the tool wear states and the failures of the tool with practical experiment examples. The results indicate that a tool wear identification system can be achieved using the sensors integration with ANNs, and that ANNs provide a very effective method of implementing sensor integration for on line monitoring of tool wear states and abnormalities.展开更多
The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is develope...The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is developed. Using tools of Simulink, the transient characteristics during the vehicle starting, including the jerk and the clutch slip time, are provided here. Based on the analyses of the simulation results and driver’s experiences, a fuzzy controller is designed to control the clutch engagement. Simulation results verify its value.展开更多
In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic （MLD） modeling mechanism for hybrid system is analyzed, which has a distingu...In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic （MLD） modeling mechanism for hybrid system is analyzed, which has a distinguished advantage to deal with the logic rules and constraints of a plant. Model predictive control algorithm with moving horizon state estimator （MHE） is presented. The estimator is adopted to estimate the current state of the plant with process disturbance and measurement noise, and the state estimated are utilized in the predictive controller for both regulation and tracking problems of the hybrid system based on MLD model. Off-line parametric programming is adopted and then on-line mixed integer programming problem can be treated as the parameter programming with estimated state as the parameters. A three tank system is used for computer simulation, results show that the proposed MHE based predictive control via parametric programming is effective for hybrid system with model/olant mismatch, and has a potential for the engineering applications.展开更多
Improving rollover and stability of the vehicles is the indispensable part of automotive research to prevent vehicle rollover and crashes.The main objective of this work is to develop active control mechanism based on...Improving rollover and stability of the vehicles is the indispensable part of automotive research to prevent vehicle rollover and crashes.The main objective of this work is to develop active control mechanism based on fuzzy logic controller(FLC) and linear quadratic regulator(LQR) for improving vehicle path following,roll and handling performances simultaneously.3-DOF vehicle model including yaw rate,lateral velocity(lateral dynamic) and roll angle(roll dynamic) were developed.The controller produces optimal moment to increase stability and roll margin of vehicle by receiving the steering angle as an input and vehicle variables as a feedback signal.The effectiveness of proposed controller and vehicle model were evaluated during fishhook and single lane-change maneuvers.Simulation results demonstrate that in both cases(FLC and LQR controllers) by reducing roll angle,lateral acceleration and side slip angles remain under 0.6g and 4° during maneuver,which ensures vehicle stability and handling properties.Finally,the sensitivity and robustness analysis of developed controller for varying longitudinal speeds were investigated.展开更多
The fuzzy logic and neural networks are combined in this paper, setting upthe fuzzy neural network (FNN ) ; meanwhile, the distinct differences and connections between thefuzzy logic and neural network are compared. F...The fuzzy logic and neural networks are combined in this paper, setting upthe fuzzy neural network (FNN ) ; meanwhile, the distinct differences and connections between thefuzzy logic and neural network are compared. Furthermore, the algorithm and structure of the FNN areintroduced. In order to diagnose the faults of nuclear power plant, the FNN is applied to thenuclear power planl, and the intelligence fault diagnostic system of the nuclear power plant isbuilt based on the FNN . The fault symptoms and the possibility of the inverted U-tube breakaccident of steam generator are discussed. In order to test the system' s validity, the invertedU-tube break accident of steam generator is used as an example and many simulation experiments areperformed. The test result shows that the FNN can identify the fault.展开更多
SRAM （Static RAM）-based FPGAs （Field Programmable Gate Arrays （FPGAs） have gained wide acceptance due to their on-line reconfigurable features. The growing demand for FPGAs has motivated semiconductor chip manufa...SRAM （Static RAM）-based FPGAs （Field Programmable Gate Arrays （FPGAs） have gained wide acceptance due to their on-line reconfigurable features. The growing demand for FPGAs has motivated semiconductor chip manufacturers to build more densely packed FPGAs with higher logic capacity. The downside of high density devices is that the probability of errors in such devices tends to increase. This paper proposes an FPGA architecture that is composed of an array of cells with built in error correction capability. Collectively a group of such cells can implement any logic function that is either registered or combinational. A cell is composed of three units： a logic block, a fault-tolerant address generator and a director unit. The logic block uses a look-up table to implement logic functions. The fault-tolerant address generator corrects any single bit error in the incoming data to the functional cell. The director block can transmit output data from the logic block to another cell located at its South, North, East or West, or to cells in all four directions. Thus a functional cell can also be used to route signals to other functional cells, thus avoiding any intricate network of interconnects, switching boxes, or routers commonly found in commercially available FPGAs.展开更多
In this paper, graphical-user-interface （GUI） software for simulation and fuzzy-logic control of a remotely operated vehicle （ROV） using MATLABTM GUI Designing Environment is proposed. The proposed ROV＇s GUI plat...In this paper, graphical-user-interface （GUI） software for simulation and fuzzy-logic control of a remotely operated vehicle （ROV） using MATLABTM GUI Designing Environment is proposed. The proposed ROV＇s GUI platform allows the controller such as fuzzy-logic control systems design to be compared with other controllers such as proportional-integral-derivative （PID） and sliding-mode controller （SMC） systematically and interactively. External disturbance such as sea current can he added to improve the modelling in actual underwater environment. The simulated results showed the position responses of the fuzzy-logic control exhibit reasonable performance under the sea current disturbance.展开更多
In 1778, Abbe Guinot, a priest native of Lorraine and professor in the seminary of Toul, published in Nancy the two volumes of his philosophical lectures, whose subtitle is ＂On Logic.＂ This concerns a general philos...In 1778, Abbe Guinot, a priest native of Lorraine and professor in the seminary of Toul, published in Nancy the two volumes of his philosophical lectures, whose subtitle is ＂On Logic.＂ This concerns a general philosophy of knowledge and a critic of philosophical systems. Guinot is interested in science and natural discoveries. He describes the organization of institutional science and appreciates the progress of sciences but he makes a distinction between scientific progress and philosophers＇ sophisms that he criticizes. In order to favor science and avoid philosophical errors, logic is essential in students＇ training. According to Guinot, logic allows us to extend our intellectual abilities, upliR our ideas, help our thought processes, and mature our reflection. However, this logic refers to the great book of nature written in mathematical language. Guinot thinks that scientific experiment is of the highest importance for accuracy of mind. This logic lecture is inspired by Aristotle but above all by Port-Royal Logic. It gives a place to Locke empiricism and it favors development of sciences. Abbe Guinot was a chaplain in the cathedral of Nancy; he emigrated in 1791. He came back in France during the Consulate and he died a few time later.展开更多
As a recurring pattern of sensory-motor-affective experience, image schema is not only a concept discussed in linguistics and psychology, but also a significant one in the study of embodied cognition. Through analyzi...As a recurring pattern of sensory-motor-affective experience, image schema is not only a concept discussed in linguistics and psychology, but also a significant one in the study of embodied cognition. Through analyzing the features of image schema considered by the authors as embodiment, recessiveness, sedimentation, logicality, scientificity, and dependency to cognitive metaphors and reviewing the definition of embodied cognition, the paper argues that image schema is an integration of bodily property and mental property, and accordingly a core and inseparable concept of embodied cognition by bridging body and mind. Image schema can help to explain how abstraction and inference generate from body-environment interactions, thus making the theory of embodied cognition more persuasive and reliable.展开更多
文摘Reliable on line cutting tool conditioning monitoring is an essential feature of automatic machine tool and flexible manufacturing system (FMS) and computer integrated manufacturing system (CIMS). Recently artificial neural networks (ANNs) are used for this purpose in conjunction with suitable sensory systems. The present work in Norwegian University of Science and Technology (NTNU) uses back propagation neural networks (BP) and fuzzy neural networks (FNN) to process the cutting tool state data measured with force and acoustic emission (AE) sensors, and implements a valuable on line tool condition monitoring system using the ANNs. Different ANN structures are designed and investigated to estimate the tool wear state based on the fusion of acoustic emission and force signals. Finally, four case studies are introduced for the sensing and ANN processing of the tool wear states and the failures of the tool with practical experiment examples. The results indicate that a tool wear identification system can be achieved using the sensors integration with ANNs, and that ANNs provide a very effective method of implementing sensor integration for on line monitoring of tool wear states and abnormalities.
文摘The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is developed. Using tools of Simulink, the transient characteristics during the vehicle starting, including the jerk and the clutch slip time, are provided here. Based on the analyses of the simulation results and driver’s experiences, a fuzzy controller is designed to control the clutch engagement. Simulation results verify its value.
文摘In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic （MLD） modeling mechanism for hybrid system is analyzed, which has a distinguished advantage to deal with the logic rules and constraints of a plant. Model predictive control algorithm with moving horizon state estimator （MHE） is presented. The estimator is adopted to estimate the current state of the plant with process disturbance and measurement noise, and the state estimated are utilized in the predictive controller for both regulation and tracking problems of the hybrid system based on MLD model. Off-line parametric programming is adopted and then on-line mixed integer programming problem can be treated as the parameter programming with estimated state as the parameters. A three tank system is used for computer simulation, results show that the proposed MHE based predictive control via parametric programming is effective for hybrid system with model/olant mismatch, and has a potential for the engineering applications.
文摘Improving rollover and stability of the vehicles is the indispensable part of automotive research to prevent vehicle rollover and crashes.The main objective of this work is to develop active control mechanism based on fuzzy logic controller(FLC) and linear quadratic regulator(LQR) for improving vehicle path following,roll and handling performances simultaneously.3-DOF vehicle model including yaw rate,lateral velocity(lateral dynamic) and roll angle(roll dynamic) were developed.The controller produces optimal moment to increase stability and roll margin of vehicle by receiving the steering angle as an input and vehicle variables as a feedback signal.The effectiveness of proposed controller and vehicle model were evaluated during fishhook and single lane-change maneuvers.Simulation results demonstrate that in both cases(FLC and LQR controllers) by reducing roll angle,lateral acceleration and side slip angles remain under 0.6g and 4° during maneuver,which ensures vehicle stability and handling properties.Finally,the sensitivity and robustness analysis of developed controller for varying longitudinal speeds were investigated.
文摘The fuzzy logic and neural networks are combined in this paper, setting upthe fuzzy neural network (FNN ) ; meanwhile, the distinct differences and connections between thefuzzy logic and neural network are compared. Furthermore, the algorithm and structure of the FNN areintroduced. In order to diagnose the faults of nuclear power plant, the FNN is applied to thenuclear power planl, and the intelligence fault diagnostic system of the nuclear power plant isbuilt based on the FNN . The fault symptoms and the possibility of the inverted U-tube breakaccident of steam generator are discussed. In order to test the system' s validity, the invertedU-tube break accident of steam generator is used as an example and many simulation experiments areperformed. The test result shows that the FNN can identify the fault.
基金Acknowledgement The first author was supported in part by the National Science Foundation, USA under Grant 0925080.
文摘SRAM （Static RAM）-based FPGAs （Field Programmable Gate Arrays （FPGAs） have gained wide acceptance due to their on-line reconfigurable features. The growing demand for FPGAs has motivated semiconductor chip manufacturers to build more densely packed FPGAs with higher logic capacity. The downside of high density devices is that the probability of errors in such devices tends to increase. This paper proposes an FPGA architecture that is composed of an array of cells with built in error correction capability. Collectively a group of such cells can implement any logic function that is either registered or combinational. A cell is composed of three units： a logic block, a fault-tolerant address generator and a director unit. The logic block uses a look-up table to implement logic functions. The fault-tolerant address generator corrects any single bit error in the incoming data to the functional cell. The director block can transmit output data from the logic block to another cell located at its South, North, East or West, or to cells in all four directions. Thus a functional cell can also be used to route signals to other functional cells, thus avoiding any intricate network of interconnects, switching boxes, or routers commonly found in commercially available FPGAs.
基金Supported by the Newcastle University’s Project Account:C0570D2330
文摘In this paper, graphical-user-interface （GUI） software for simulation and fuzzy-logic control of a remotely operated vehicle （ROV） using MATLABTM GUI Designing Environment is proposed. The proposed ROV＇s GUI platform allows the controller such as fuzzy-logic control systems design to be compared with other controllers such as proportional-integral-derivative （PID） and sliding-mode controller （SMC） systematically and interactively. External disturbance such as sea current can he added to improve the modelling in actual underwater environment. The simulated results showed the position responses of the fuzzy-logic control exhibit reasonable performance under the sea current disturbance.
文摘In 1778, Abbe Guinot, a priest native of Lorraine and professor in the seminary of Toul, published in Nancy the two volumes of his philosophical lectures, whose subtitle is ＂On Logic.＂ This concerns a general philosophy of knowledge and a critic of philosophical systems. Guinot is interested in science and natural discoveries. He describes the organization of institutional science and appreciates the progress of sciences but he makes a distinction between scientific progress and philosophers＇ sophisms that he criticizes. In order to favor science and avoid philosophical errors, logic is essential in students＇ training. According to Guinot, logic allows us to extend our intellectual abilities, upliR our ideas, help our thought processes, and mature our reflection. However, this logic refers to the great book of nature written in mathematical language. Guinot thinks that scientific experiment is of the highest importance for accuracy of mind. This logic lecture is inspired by Aristotle but above all by Port-Royal Logic. It gives a place to Locke empiricism and it favors development of sciences. Abbe Guinot was a chaplain in the cathedral of Nancy; he emigrated in 1791. He came back in France during the Consulate and he died a few time later.
文摘As a recurring pattern of sensory-motor-affective experience, image schema is not only a concept discussed in linguistics and psychology, but also a significant one in the study of embodied cognition. Through analyzing the features of image schema considered by the authors as embodiment, recessiveness, sedimentation, logicality, scientificity, and dependency to cognitive metaphors and reviewing the definition of embodied cognition, the paper argues that image schema is an integration of bodily property and mental property, and accordingly a core and inseparable concept of embodied cognition by bridging body and mind. Image schema can help to explain how abstraction and inference generate from body-environment interactions, thus making the theory of embodied cognition more persuasive and reliable.
