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Articles 56941 - 56970 of 197941
Full-Text Articles in Engineering
Robust Coordinated Motion Control Of Free-Floating Space Robot With Flexible-Link And Flexible-Joints, Xiaoyan Yu, Chen Li
Robust Coordinated Motion Control Of Free-Floating Space Robot With Flexible-Link And Flexible-Joints, Xiaoyan Yu, Chen Li
Journal of System Simulation
Abstract: Robust coordinated motion control and vibration hierarchical suppression of a free-floating space robot with one flexible link and two elastic revolute joints was proposed. The dynamical Lagrange equation was established by the momentum conservation. A singularly perturbed model was formulated, which consists of a slow subsystem and two fast subsystems. Based on the singularly perturbed model, a reduced-order controller was proposed, which consists of a robust slow control component and two fast control components. The virtue of this control scheme is that the linear position, linear velocity, linear acceleration of the base needn’t be measured directly. …
Protocol Algorithm Design Of Location Privacy Preserving For Sink Node Based On Security Area, Peiyu Li, Zhixue Zhang
Protocol Algorithm Design Of Location Privacy Preserving For Sink Node Based On Security Area, Peiyu Li, Zhixue Zhang
Journal of System Simulation
Abstract: In view of problems appear in location privacy protection for sink node of wireless sensor networks, a location privacy preserving routing algorithm for sink node based on security area was proposed. This protocol protected location privacy of sink node through methods such as sending real package or fake package probabilistic from safe area to unsafe area and forming a circular sink area around the sink node. Performance evaluation was compared between this proposed dynamic routing algorithm and existing one. Network simulation results show that the routing algorithm has advantages such as low energy consumption, small network delay, and …
Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control, Zhiling Ren, Jiahao Han
Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control, Zhiling Ren, Jiahao Han
Journal of System Simulation
Abstract: Grey model of water inflow in tunnel and time with measuring data and economic model was established after analysis for energy conservation issue of mine drainage system. Using model predictive control, a coal mines pumping water pump scheduling in non-peak periods was establish, executing the simulation of the gray model based on model predictive control and predicting the water inflow at times of peak demand in morning and evening. A load shifting schedule for system was formulated. The result show that the pump scheduling established in non-peak periods based on model predictive control can reduce the cost of electricity …
Numerical Simulation And Experimental Study Of Three-Dimensional Flow Field On Roots-Type Power Machine Based On Dynamic Mesh Technique, Yanjun Xiao, Yuxiang Liu, Dayuan Wang, Feng Hua, Chunxia Li
Numerical Simulation And Experimental Study Of Three-Dimensional Flow Field On Roots-Type Power Machine Based On Dynamic Mesh Technique, Yanjun Xiao, Yuxiang Liu, Dayuan Wang, Feng Hua, Chunxia Li
Journal of System Simulation
Abstract: A new roots-type power machine was recommended. As for it, the working fluid of low pressure waste heat according was simulated to both the different operating conditions and the different intake and exhaust pressure and flow, and the changing process of internal flow field over time period using dynamic mesh technique was simulated when the power machine was in rotating work. The pressure field, velocity field and mass flow rate with the simulation results were analyzed, thus reaching the optimum operating conditions and the key parameters of the roots-type power machine. A test platform and conducted field tests was …
An Urban Modelling Framework For Climate Resilience In Low-Resource Neighbourhoods, Ulrike Passe, Michael Dorneich, Caroline Krejci, Diba Malekpour Koupaei, Breanna Marmur, Linda Shenk, Jacklin Stonewall, Janette Thompson, Yuyu Zhou
An Urban Modelling Framework For Climate Resilience In Low-Resource Neighbourhoods, Ulrike Passe, Michael Dorneich, Caroline Krejci, Diba Malekpour Koupaei, Breanna Marmur, Linda Shenk, Jacklin Stonewall, Janette Thompson, Yuyu Zhou
Industrial, Manufacturing, and Systems Engineering Faculty Publications - Archive
Climate predictions indicate a strong likelihood of more frequent, intense heat events. Resource-vulnerable, low-income neighbourhood populations are likely to be strongly impacted by future climate change, especially with respect to an energy burden. In order to identify existing and new vulnerabilities to climate change, local authorities need to understand the dynamics of extreme heat events at the neighbourhood level, particularly to identify those people who are adversely affected. A new comprehensive framework is presented that integrates human and biophysical data: occupancy/behaviour, building energy use, future climate scenarios and near-building microclimate projections. The framework is used to create an urban energy …
Physical Behavior Of Thermally Affected Bronze And Brass, Samiul Kaiser, Mohammad Salim Kaiser
Physical Behavior Of Thermally Affected Bronze And Brass, Samiul Kaiser, Mohammad Salim Kaiser
Journal of Mechanical Engineering Science and Technology (JMEST)
The physical behavior of thermally affected cast copper, aluminum bronze and brass has been studied by subjecting to heating isochronally for one hour at a range of 600°C. It shows that solid-solution hardening takes place into the Al added bronze and Zn added brass metal. Due to heating Al forms hard and brittle intermetallic of copper aluminates into the bronze metal which responses some age-hardening effects. The electrical conductivity of the metals increases initially through heat treatment due to stress relieving and finally decreases due to formation of intermetallic precipitates. The color of the heated samples are also studied through …
Performance Enhancement Of Shell And Tube Heat Exchanger On Parallel Flow With Single Segmental Baffle, Avita Ayu Permanasari, Poppy Puspitasari, Sukarni Sukarni, Retno Wulandari
Performance Enhancement Of Shell And Tube Heat Exchanger On Parallel Flow With Single Segmental Baffle, Avita Ayu Permanasari, Poppy Puspitasari, Sukarni Sukarni, Retno Wulandari
Journal of Mechanical Engineering Science and Technology (JMEST)
The shell and tube heat exchanger was a tool to exchange the heat energy between fluids with different temperatures that occurred through direct or indirect contact. The energy exchange in fluids could be occurred with the same phase (liquid to liquid or gas to gas) or two fluids with different phase. To date, the process of heat transfer in the industrial field was crucial in machine work. Therefore, there were studies directed to optimize and develop the function and thermal performance of a heat exchanger by adding Baffles to the side of the shell. Vortex flow that occurs with the …
Hardness Evaluation On Ss 316l Joined With Gas Tungsten Arc Welding Under Constant Heat Treatment, Duwi Leksono, Imam Sudjono
Hardness Evaluation On Ss 316l Joined With Gas Tungsten Arc Welding Under Constant Heat Treatment, Duwi Leksono, Imam Sudjono
Journal of Mechanical Engineering Science and Technology (JMEST)
The purpose of this study is to show the hardness of the GTAW welding results on SS 316L metal with surface heating during the welding process. Observations in this study used SS 316L material with heat temperature regulation on the metal surface of the welding process using heating variations of 100 ℃, 120 ℃ and 140 ℃. The welding process of SS 316L material used a welding joint model uses single V-type welding joint with an angle of 60°, a spacing of 2 mm, a root surface of 1 mm and a thickness of 5 mm. Vickers hardness test was …
The Effect Of Solution Treatment Temperature And Quenching Media Variation In Heat Treatment Process Cu-Zn-Al Shape Memory Alloys On Shape Memory Effect And Microstructures, Wikan Jatimurti, Monica Gayatri K, Mavindra Ramadhani, Rochman Rochiem
The Effect Of Solution Treatment Temperature And Quenching Media Variation In Heat Treatment Process Cu-Zn-Al Shape Memory Alloys On Shape Memory Effect And Microstructures, Wikan Jatimurti, Monica Gayatri K, Mavindra Ramadhani, Rochman Rochiem
Journal of Mechanical Engineering Science and Technology (JMEST)
Shape memory alloys (SMAs) are metal alloys with a reversible ability to recover their shape at a certain temperature after being deformed. This ability referred to as Shape Memory Effect (SME). The application of SMAs such as Ni-Ti and Cu-Zn-Al alloys usually used on automotive, biomedical, etc. The commonly used SMA is Ni-Ti because of its superior SME properties than Cu-Zn-Al, even though the price is quite higher. The SME of Cu-Zn-Al might be improved by increasing the presence of the martensite phase in its microstructure by heat treatment. The heat treatment process given to Cu-21Zn-5Al alloy is a homogenizing, …
Magnetic Water Treamtment For Scale Prevention On Water Heater Elements, Fatma Al-Sharji
Magnetic Water Treamtment For Scale Prevention On Water Heater Elements, Fatma Al-Sharji
Department of Environmental Engineering: Theses and Other Student Research
Calcium carbonates is one of the main components of scale that is commonly found in industrial equipment such as hot water systems. Scale formation on heater elements may lead to reduce heat efficiency and shorten the heat service life. Ion exchange softened water are used to reduce the scale formation, but excess salt during regeneration discharged to the wastewater stream, limits the reuse of wastewater for industrial purposes. As a result, non-salt alternative devices would provide consumers with the ability to reduce the impacts of ion exchange softened water without creating negative salinity impacts on wastewater stream. Magnetic water treatment …
Wavelength Decomposition Of Hybrid Additive Manufacturing Power Signals And Their Relationship With Surface Integrity, Xingtao Wang
Wavelength Decomposition Of Hybrid Additive Manufacturing Power Signals And Their Relationship With Surface Integrity, Xingtao Wang
Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research
Additive Manufacturing (AM) has been a promising manufacturing technology in industrial applications and gained a massive amount of attention from researchers all over the world. Directed Energy Deposition (DED) is an AM process in which focused thermal energy is used to fuse materials by melting as they are deposited. One of the most significant challenges involved in current metal AM processes is improving repeatability and consistency. Substantial effort has already been invested in this area of research.
In this dissertation, a milling tool not only played a role in subtractive manufacturing but also acted as a method of monitoring the …
Biofiltration Of Volatile Organic Compounds Emitted At Ethanol Plants, Mitham Al-Faliti
Biofiltration Of Volatile Organic Compounds Emitted At Ethanol Plants, Mitham Al-Faliti
Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research
Ethanol is a major biofuel source of energy in the U.S. Ethanol production produces several harmful emissions from both fermentation tanks and dryers. CO2 scrubbers control the emissions from the fermentation tanks, while the emissions from the dryers are controller by regenerative thermal oxidizers. These methods are expensive to operate. A potential alternative is bio-trickling filters. Bio-trickling filters are an inexpensive and environmentally friendly alternative. For this study, two parallel bio-trickling filters were operated one at 25°C called the mesophilic bio-trickling filter and one at 60°C called the thermophilic bio-trickling filter. The mesophilic bio-trickling filter simulates emissions from fermentation …
Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng
Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng
Journal of System Simulation
Abstract: In the field of modeling and simulation, it’s difficult to reuse the models because the models and simulation system are coupled seriously. The Ontology-driven modeling theory is a simulation modeling methodology for model reuse. A new DEVS modeling method was proposed based on this theory. The DEVS modeling ontology DEVSMO was built and the DEVS model could be described as the instance of the DEVSMO. This form of DEVS model was independent of the DEVS simulation environment, which improved the model reusability. A tool was developed to translate the DEVSMO instance to DEVS executable models to verify the …
Simulation Research On Impact Of Consumer Bounded Rationality On Optimal Pricing Strategy In Supply Chain, Li Feng, Wei Ying
Simulation Research On Impact Of Consumer Bounded Rationality On Optimal Pricing Strategy In Supply Chain, Li Feng, Wei Ying
Journal of System Simulation
Abstract: Noticing increasing market responses to online sales channel, the impact of bounded rationality of consumer on pricing strategy was studied in a dual-channel supply chain system, which consists of one manufacturer and one retailer. A multiple-agent based modeling and simulation approach was proposed and employed. In a Stackelberg game setting with the manufacturer the leader, optimal pricing decisions were calculated from the simulation model. Impacts of consumer behavior parameters on channel prices and sales revenue were analyzed, i.e., degree of consumer bounded rationality, consumer’s acceptance of online channel, as well as consumer’s valuation distribution to the product. Results …
Modeling And Scheduling Of Reentrant Automatic Assembly Equipment Based On Cpn Tools, Zhang Mei, Guangsen Chen, You Jia
Modeling And Scheduling Of Reentrant Automatic Assembly Equipment Based On Cpn Tools, Zhang Mei, Guangsen Chen, You Jia
Journal of System Simulation
Abstract: The idea about treating automatic immunoassay detection equipment as a reentrant dual-armed automatic assembly equipment was brought forward. Using timed colored Petri nets (TCPN) to model the equipment according to its detection, the performance of model and simulation experiment were evaluated. To optimize the detection process, DPC dynamic feeding strategy and LSPON, FIFO scheduling strategy were designed. Based on that, a hybrid control strategy was proposed to schedule the model more efficiently. Batch-detecting projects of different scale examples were scheduled on the platform of CPN tools according to the strategies above. The simulation results illustrate the reasonability and feasibility …
Improved Quantum-Behaved Particle Swarm Optimization For Solving Multi-Objective Flexible Job-Shop Scheduling Problems, Tian Na, Zhicheng Ji
Improved Quantum-Behaved Particle Swarm Optimization For Solving Multi-Objective Flexible Job-Shop Scheduling Problems, Tian Na, Zhicheng Ji
Journal of System Simulation
Abstract: Due to the complexity of flexible job-shop scheduling problem (FJSP), it is still the hot topic for research. FJSP was given deep insight into with three objectives to be minimized simultaneously: makespan, maximal machine workload and total workload. Quantum-behaved particle swarm optimization (QPSO) with different coefficient selection methods was compared. The benchmark function tests show that QPSO with adaptive coefficient outperforms other selection methods in unimodal functions, while QPSO with cosine coefficient performs better in multi-modal functions. Therefore, QPSO with cosine decreasing coefficient is adopted to solve the multi-objective FJSP, which is a complex multi-modal optimization problem. Simulation results …
Study Of Adaptive Dynamic Search Pso Based Svm Parameter Optimization, Chunneng Gao, Zhang Biao, Zhicheng Ji
Study Of Adaptive Dynamic Search Pso Based Svm Parameter Optimization, Chunneng Gao, Zhang Biao, Zhicheng Ji
Journal of System Simulation
Abstract: According to critical control points (CCPs) selection problem in wheat processing HACCP (hazard analysis and critical control point), an automatic identification method based on SVM model was introduced. In order to improve the model’s recognition stability and accuracy, an adaptive dynamic search particle swarm optimization (ADS-PSO) for the optimization of kernel function parameters in SVM was proposed. ADS-PSO introduced an evolutionary factor and threshold (ET) to estimate the evolutionary state and adjusted the search strategy adaptively. Besides, an inertia parameter for the velocity was defined in ADS-PSO. The simulation results show that the improved SVM model can identify …
Three-Dimensional Relief Generation On Freedom Surface Based On Monocular Image, Meng Yue, Mingquan Zhou, Wuyang Shui, Zhongke Wu
Three-Dimensional Relief Generation On Freedom Surface Based On Monocular Image, Meng Yue, Mingquan Zhou, Wuyang Shui, Zhongke Wu
Journal of System Simulation
Abstract: For better protection of relief relics which was apt to be corroded and destroyed, the three-dimensional reconstruction technology was utilized to reconstruct 3D model from monocular image. Namely, the SFS (Shape From Shading) method estimated metric depth of relief model according to monocular image, and then restored it using filter transformation and model superposition. For most relief, their carrier surface was irregular curved surface, so estimated metric depth should be map to curved surface. The carrier model was put into Riemannian geometry space, parameterizing local region which position and size was assigned using exponential map. Corresponding vertex coordinate …
Pipeline Design And Simulation Optimization Of Hydraulic Driving System For Rape Windrower, Caixia Shu, Yan Lei, Li Lei, Cairui Han, Yajun Jiang, Youchun Ding, Qingxi Liao
Pipeline Design And Simulation Optimization Of Hydraulic Driving System For Rape Windrower, Caixia Shu, Yan Lei, Li Lei, Cairui Han, Yajun Jiang, Youchun Ding, Qingxi Liao
Journal of System Simulation
Abstract: Based on disadvantages with large pipeline size and tube loss about the existing hydraulic driving system of rape windrower, according to the pipelines of hydraulic drive system for rape windrower, the relationship between the tube loss and pipeline structure parameters was analyzed and determined. Combined with the effect of tube losses, minimum bend radius and cost, the comprehensive scoring method was used to optimize the pipe diameter of the header, horizontal and vertical conveyor assembly operating branches. Consistency was.determined between the simulation of the tube loss by FLUENT module of the ANSYS and the result obtained by fuzzy evaluation …
Simulative Study Of Machining Mechanism Of Material In Micro-Edm, Wang Shi, Jianwen Guo, Wuxue Jiang, Wenliang Cao
Simulative Study Of Machining Mechanism Of Material In Micro-Edm, Wang Shi, Jianwen Guo, Wuxue Jiang, Wenliang Cao
Journal of System Simulation
Abstract: Great complexity and randomness exist in micro-electrical discharge machining (micro-EDM) process. Considering the limitations of molecular dynamics model and numerical model based on heat transfer theories in studies on machining mechanism of micro-EDM, a hybrid modeling method in which the two-temperature model and molecular dynamics simulation model were integrated was used to construct the machining model for the anode in micro-EDM process, and the corresponding parallel simulation platform was built based on MPI technology. In this simulation model, a heat source was placed in the electron system to mimic the thermal action of the discharge channel on the anode …
Improved Apit Localization Algorithm Based On Wireless Sensor Network, Wu Dong, Zhicheng Ji, Zhang Biao
Improved Apit Localization Algorithm Based On Wireless Sensor Network, Wu Dong, Zhicheng Ji, Zhang Biao
Journal of System Simulation
Abstract: To address the problems of Approximate Point-In-Triangulation Test (APIT) algorithm in Wireless Sensor Network requiring high anchor node density, Out-To-In or In-To-Out error judgment, nodes failure and so on, an improved APIT localization algorithm based on Wireless Sensor Network was proposed. The method based on directional searched node and combined with RSSI ranging calculation by Gaussian fitting method was used to deal with error judgment. Besides, a geometrical method was used to process the failure nodes. The simulation results show that the improved localization algorithm performs greatly better, both in positioning accuracy and number of error judgment, than the …
On-Farm Research And Student Engagement To Assess And Promote The Use Of Organic Amendments To Improve Agricultural Soil Health And Resilience Of Crop Production Systems In Nebraska, Agustin Jose Olivo
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
In nearly every production environment, there are opportunities to capture profits if waste streams can be further processed or enhanced to create “value added” products. On-farm research studies were initiated in 2019 at four locations across Nebraska to assess the impacts of livestock manure, cedar mulch from forestry management and coal char from sugar beet processing, on agricultural cropland. Study treatments included beef cattle manure (CM), beef cattle slurry (CS), coal char (CC), woody biomass (WB) CM+WB, CS+WB, CM+CC and control (CON; no organic amendment). Soil properties and corn yield were evaluated after a single growing season. Results indicate that …
Three-Dimensional Virtual Reassembling For Broken Artifact Fragments Based On Leap Motion, Haoran Lu, Zhang Yu, Miaomiao Niu, Wuyang Shui, Mingquan Zhou
Three-Dimensional Virtual Reassembling For Broken Artifact Fragments Based On Leap Motion, Haoran Lu, Zhang Yu, Miaomiao Niu, Wuyang Shui, Mingquan Zhou
Journal of System Simulation
Abstract: 3D laser scanning technique has been widely used to acquire geometry information of artifacts. The broken relics can be virtually restored with the help of computer technologies. Aiming at solving the problems of the automatic virtual restoration for broken artifact fragments, a new method of semi-automatic reassembly was proposed. The motions of the user’s hands were simulated by using the data captured by Leap Motion. The movement of each fragment model was controlled interactively so that two fragments could be roughly matched. The matching results were fed back to the user in real-time, and the user could optimize …
Signal Denoising Method Based On Atom Curve Fitting Improved Dictionary Learning, Gao Bo, Wang Jun, Gege Zhang
Signal Denoising Method Based On Atom Curve Fitting Improved Dictionary Learning, Gao Bo, Wang Jun, Gege Zhang
Journal of System Simulation
Abstract: In signal denoising problems, using K-SVD and other classic dictionary learning algorithm can not effectively eliminate the noise impact. The method made some amendments for classical dictionary learning by applying nonlinear least squares curve fitting and particle swarm optimization. K-SVD algorithm was used to train the dictionary. Nonlinear least-squares approach was used to fit every atom in the dictionary. Particle swarm optimization method was used to solve the sparse representation of the signal. The reconstructed signal was obtained. The experimental results show that, the denoising effects of the proposed method apparently has increased compared with K-SVD and RLS-DLA.
Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao
Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao
Journal of System Simulation
Abstract: In order to explore the internal relationship between Command Information System (CIS) network and combat system, a layered combat system model was built, including organizational relationship layer, information interaction layer and communication link layer. Conception of the system coupling intensity was defined, which reflected the influence of network architecture to combat system. An optimization model of CIS network architecture aimed at maximizing the ratio of system coupling intensity to cost coefficient was built. A route programming genetic algorithm was designed and applied into simulation of Air Offensive Campaign (AOC) system network. The results show that the model and algorithm …
A Derivation Of Scattered Intensity (Radiance) For Use In Optical Particle Counters, Brady S. Hales, Matthew R. Jones, Randy S. Lewis
A Derivation Of Scattered Intensity (Radiance) For Use In Optical Particle Counters, Brady S. Hales, Matthew R. Jones, Randy S. Lewis
Student Works
Mie scattering theory is often used to calculate the flux of light scattered off of small particles whose diameter is approximately the same order of magnitude as the wavelength of incident light. In many equations for the calculation of this flux, it is assumed that the area of interest is perpendicular to the ray of scattered light. This assumption does not apply to all cases such as low-cost (
Building Arc-Sprial Search Models Of Dipping Sonar Based On Transcendental Target Moving Course, Wu Min
Building Arc-Sprial Search Models Of Dipping Sonar Based On Transcendental Target Moving Course, Wu Min
Journal of System Simulation
Abstract: Based on the known probable moving course of submarine targets, and the actual searching process of anti-submarine airplane, to search the target in the finite domain, the wind factor to affect searching process was analyzed. The arc-spiral searching model of dipping sonar and submarine moving models were built. In the factor of given ocean environments, the experimental results simulated and analyzed the arc-spiral searching course of dipping sonar. The experimentation compared and analyzed the influence of searching probabilities on curve searching, sector searching, and arc-spiral searching manners. The experimental results indicate that the searching probability of arc-spiral searching …
Simulation Study On Scheduling Strategy Of Dynamic Vehicle Routing Problem, Ning Tao, Guo Chen, Chen Rong, Jin Hua
Simulation Study On Scheduling Strategy Of Dynamic Vehicle Routing Problem, Ning Tao, Guo Chen, Chen Rong, Jin Hua
Journal of System Simulation
Abstract: For the purpose of solving the rescheduling of dynamic vehicle routing problem, the simulation model was established to minimize the cost and optimize the stability. The method of double chains structure coding was proposed. An improved hybrid multi-phases quantum particle swarm algorithm was proposed. An AHP (Analytic hierarchy process strategy) was introduced to obtain the optimal strategy from the Pareto solution. A novel method was applied to a dynamic simulation and the result of comparing with other classical algorithms verifies its effectiveness.
Autonomous Flight Control And Simulation Study Of Independent Developed Soft-Wing Uav, Juntong Qi, Jinda Liu, Shang Hong, Liying Yang, Mei Sen, Jianda Han
Autonomous Flight Control And Simulation Study Of Independent Developed Soft-Wing Uav, Juntong Qi, Jinda Liu, Shang Hong, Liying Yang, Mei Sen, Jianda Han
Journal of System Simulation
Abstract: Soft-wing UAV is composed of ram air parafoil hanging powered vehicle with ropes. The special structure of soft-wing UAV makes it possess apparent mass, flexible structure and relative motions, which are the difficulties of modeling and controlling of soft-wing UAV. Autonomous flight controller design method based on mathematical model can low-costly and high-efficiently achieve control algorithms for UAV. Based on the physical parameters of the self-designed soft-wing UAV, a 6 DOF mathematical model was built. A flight controller and visual simulation system was designed. By using the trajectory points simulation, the numerical and visual simulation was synchronously realized which …
Optimized Composite Input Shaping Based On Residual Oscillation Suppressing, Huasen Liu, Wenming Cheng
Optimized Composite Input Shaping Based On Residual Oscillation Suppressing, Huasen Liu, Wenming Cheng
Journal of System Simulation
Abstract: The optimized input shaping control method was proposed to reduce the under actuated overhead crane’s oscillation caused via the inertia force. The dynamic model of the overhead crane was proposed according to the physics structure of the crane. The probability distribution function of the crane’s swing frequency was obtained. The optimized multi-model composite based on the probability distribution function of the crane’s swing frequency was used as the feed-forward input to increase the frequency of robustness. Simulation results indicate that the optimized multi-model composite input shaping can reduce the oscillation the overhead crane.