the paper studies a digital electronic governor with TMS320F2812 for a gas engine. the governor employed chopped current angular subdivision to realize feeding oil control. Modifying PID parameters automatically by fu...
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the paper studies a digital electronic governor with TMS320F2812 for a gas engine. the governor employed chopped current angular subdivision to realize feeding oil control. Modifying PID parameters automatically by fuzzy control rules, a fuzzy adaptive PID control was achieved. Fuzzy self-adjusted PID control improves dynamic response while the load change, and keeps the governor performing well in a wide operating range
As the scale of systems increases, traditional models and fault diagnosis methods are not applicable. Qualitative signed directed graphs (QSDG) are used to model the variables and relationships among them in large-sca...
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As the scale of systems increases, traditional models and fault diagnosis methods are not applicable. Qualitative signed directed graphs (QSDG) are used to model the variables and relationships among them in large-scale complex systems. However, they have distinct limitations of resulting spurious solutions due to the lack of utilization of knowledge or information. this article proposes a kind of probabilistic SDG (PSDG) model to describe the propagation of faults among variables. the fault diagnosis method is also investigated, where Bayesian network has been employed. Finally, examples are given and the future topics are listed
Flexible pneumatic bending joint is a new type of joint based on FPA, which can be adopted in multi-fingered dexterous hand design. the changing of average radius and shell thickness of bending joint during movement a...
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Flexible pneumatic bending joint is a new type of joint based on FPA, which can be adopted in multi-fingered dexterous hand design. the changing of average radius and shell thickness of bending joint during movement are analyzed, which implies that the average radius is almost invariable while the shell thickness changes obviously. the static model of bending joint is established based on principle of moment equilibrium, and was validated by experiment. Experimental result indicates that the theoretical model can basically describe the static properties of bending joint. Finally, the reasons of error between theoretical curve and experimental data are discussed
In this paper, a new interaction measure and loop pairing criterion for decentralized control of multivariable processes, in which both steady-state gain and bandwidth information of the process open loop transfer fun...
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In this paper, a new interaction measure and loop pairing criterion for decentralized control of multivariable processes, in which both steady-state gain and bandwidth information of the process open loop transfer function is summarized. Compared with existing methods, this method is simple, effective, and easy to understood and applied by control engineers. Further more, it is applied to the process assessment and control system design of vapor compression cycle, the method gives more accurate interaction measures and results in less conservative controllers than that of RGA detuning factor method
A point-to-point (PTP) control command for the suppression of mechanical vibration and positioning machine load at a specified time is presented. First, the principle of the command for PTP control to suppress residua...
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A point-to-point (PTP) control command for the suppression of mechanical vibration and positioning machine load at a specified time is presented. First, the principle of the command for PTP control to suppress residual vibration is analyzed. this principle shows that selection of command shape depending on positioning time is important to suppress residual vibration. Moreover, by using this principle, concrete command generation methods are proposed, in which vibration suppression commands are represented by simple formulas. To verify the effectiveness of proposed commands, experimental results are presented in this paper
Virtual remote laboratory (VRL) is a powerful tool for an effective active learning in control engineering formation because it gives the opportunity of testing remotely control laws both by simulations within a virtu...
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Virtual remote laboratory (VRL) is a powerful tool for an effective active learning in control engineering formation because it gives the opportunity of testing remotely control laws both by simulations within a virtual reality framework and by remote experiments. In this paper the virtual environment VRL is described and an application of a fault tolerant control law on an inverted pendulum is shown
In this work, we consider the application of the interconnection and damping assignment (IDA) control design method to the asymptotic output feedback position regulation problem of a brushed DC motor driving a mechani...
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In this work, we consider the application of the interconnection and damping assignment (IDA) control design method to the asymptotic output feedback position regulation problem of a brushed DC motor driving a mechanical load. the applied approach is based on the asymptotic reconstruction of a stabilizing IDA control law through the design of a dynamic output feedback regulating control. Asymptotic stability of the mechanical position is verified by digital simulations
When an intelligent robot works together with human in a living space, we may often encounter a scene that the robot supports the human behaviors. Understanding of the human behavior is required for the robot to judge...
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When an intelligent robot works together with human in a living space, we may often encounter a scene that the robot supports the human behaviors. Understanding of the human behavior is required for the robot to judge what kind of action serves as assistance to the human in such a scene. the present research aims at constructing a system that can understand the human behavior using the time series images for the movement of the human, which can be obtained from an active vision head. the first process estimates the human posture in each frame. the next process divides the basic human action into a posture and a position. the final process estimates the human behavior by examining the action and the target, under the assumption that the human behavior consists of the combination of an action and a behavioral target
In this paper, a learning control approach is applied to the synchronization of two uncertain chaotic systems which contain nonlinear uncertainties with unknown time delays. this learning approach also deals with unkn...
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In this paper, a learning control approach is applied to the synchronization of two uncertain chaotic systems which contain nonlinear uncertainties with unknown time delays. this learning approach also deals with unknown time-varying parameters having distinct periods in the master and slave systems. Using the Lyapunov-Krasovskii functional and incorporating periodic parametric learning mechanism, global stability and asymptotic synchronization between the master and the slave systems are obtained. Simulation studies on representative classes of chaotic systems demonstrate the effectiveness of the proposed approach
In this paper, we present a novel approach to counting number of people that pass the view of an overhead mounted camera. Moving people are first detected as blobs and represented by binary masks, based on which possi...
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In this paper, we present a novel approach to counting number of people that pass the view of an overhead mounted camera. Moving people are first detected as blobs and represented by binary masks, based on which possible multi-person blobs are further segmented into isolated persons according to their areas and locations. Each single person is tracked through consecutive frames using a correlation-based algorithm and a state diagram is proposed to count people entering and leaving the scene. Experimental results show that our approach is able to achieve promising results
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