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The engine start-stop technology has been widely concerned in the field of hybrid electric vehicles (HEV) for improving the fuel economy and alleviating environment pollution. In this paper, the model predictive control (MPC) is applied to deal with the control problem of engine start-stop with input constraint. Firstly, a nonlinear engine-BSA (belted starter alternator) coupling model is introduced...
The performance optimization problem is investigated for discrete-time control systems on a multi-core platform. An integrated approach which considers both control performance and real-time scheduling aspects is applied to allocate optimal periods to controller tasks. A real-time control system is modeled as a set of directed acyclic graphs with weighted edges in this paper. The system allows producer/consumer...
The development tendency of manufacturing will be dominated by advanced machine tools which integrate intelligent machining technology. In this paper, the function of signal processing and intelligent control in smart CNC is proposed with the aim of on-line chatter recognition and suppression. To effectively recognize chatter, the algorithm of Estimation of Signal Parameters via Rotational Invariance...
Machining accuracy of thin-walled parts which have low-rigidity is greatly influenced by cutting deflection in flank milling. In this paper, workpiece deflection during machining is controlled based on real-time cutting force signal processing and control strategy of on-line feedrate optimization. The model of workpiece deflection is established to obtain the numerical relationship among cutting force,...
A double closed-loop control system for driving high brightness LED to keep the temperature and emission intensity of LED stable is presented. In one closed-loop control, a Peltier is used to control LED's temperature and its average power can be dynamically regulated as LED temperature changes. In another, sampling real emission intensity of LED and comparing with expected intensity is repeatedly...
In order to promote the high frequency performance of open architecture CNC system, an embedded CNC controller combining FPGA (Field Programmable Gate Array) technology and real-time Ethernet communication bus was designed, which consisted of an embedded ARM (Advanced RISC Machines) processor and an FPGA. An open source CNC software running under Linux operating system was customized to accommodate...
Determination of the cutting force during metal machining process is of particular importance because of its controlling influence to cutting deformation, tool wear, tool life, as well as the quality of machined part. Numerous attempts have been made to approach this problem with different methods, such as analytical, empirical, numerical, hybrid models. But the complexity of cutting process makes...
This paper presents a technique to determine the occupancy and indoor environment quality (IEQ) in buildings by enhancing physical measurements from a distributed sensor network with a statistical estimation method. The research is motivated by the increasing demand for improving energy efficiency while maintaining healthy and comfortable environment in buildings. Features representing the occupancy...
On mass concentration for 512.94g/L of slurry of laterite-nickel ore, it was used that the method of flocculating and solid-liquid separation distilled clear liquid according to slurry property. The results showed that under the conditions of original slurry pH and the 4# flocculant dosage for 1200mg/L, the biggest filtrate volume (V=90.5mL) could be got in the least filtering time (t=6.5min) and...
In order to effectively use the resources of software systems, increase the availability and reliability of system, this paper discusses the rational allocation of resources, and studies the software rejuvenation time. For the reasons that the resources are exhausted to result in attenuation of system performance and decline of processing capacity, the existing literature only had analyzed the memory...
This paper is to present an approach to solve time-optimal collision-free trajectory planning problems for wheeled mobile robots based on switching time computation (STC) method, with smoothed penalty function method for state inequality constraints. By applying the smoothed penalty function method, the state inequality constraints are aggregated and posed as a final time constraint. Then gradients...
In order to be able to better deal with uncertain information, this paper presents an uncertain reasoning approach, i.e., a reasoning approach of combination of rough set theory and other uncertainty theories. This paper studies mainly the basic algorithm of the reasoning approach, and through example and simulation, shows that the reasoning approach is more effective and feasible than the old reasoning...
In order to be able to better deal with uncertain information, this paper presents an uncertain reasoning approach based on rough set theory and other uncertainty theories. This paper studies mainly the application of the reasoning approach on satellite fault detection. The simulation results show, the detection precision based on the new reasoning approach is improved from previous 75.95 percent...
Introduce a self-made 5-axis machine tool which is applicable to complex 3D micro-milling. Machine linear axis processing capacity is 250 mm ?? 250 mm ?? 150 mm, resolution is 0.1 ??m, turn table trip of A-axis is ?? 90??, and C-axis is ?? 180??, their resolutions are 2 angular second, so the machine can achieve micron-level precise machining. The key components of machine tool use a water-cooled...
A neural network alpha-beta-gamma filters optimized by an improved genetic algorithm (GA) was presented. In this new algorithm, a special fitness function on the basis of the tracker performance and adapted crossover and mutation probability were designed. So that premature convergence can be avoided, and the population diversity can be maintained. The improved GA ensures that the obtained parameters...
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