A GPC-based Multi-variable PID Control Algorithm and Its Application in Anti-swing Control and Accurate Positioning Control for Bridge Cranes

Bin Yang,Zhenxing Liu,Hui-Kang Liu,Yan Li,Sen Lin 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.10

It is one of the key tasks for the bridge crane to achieve anti-swing control of the hook and the accurate positioning of the body to work efficiently, safely and automatically. Based on the Lagrange equation, this paper is to propose a dynamic model of the crane motion system for designing controller. In the controller design, ProportionalIntegral-Derivative (PID), the most widely used controller in engineering, is adopted and a new parameter tuning algorithm for a multi-variable PID controller based on generalized predictive control (GPC) is given. It is foundthat the multi-variable PID controller shares the same structural mathematical expressions with the GPC law, which makes for the transfer and calculation of the three parameters P, I and D, and that the new algorithm enables the traditional PID controller to perform as brilliantly as the GPC. The results of both the simulation and real-time control experiments show that the newly-proposed PID controller can effectively eliminate the swing of the hook and control the bridge cranes moving position accurately.

Enhanced Antibacterial Effect of Polypyrazole-Graphene Oxide Composite

Bin Yang,Yufei Wang,Longqiang Xiao,Xiaowen Hu,Guofu Zhou 한국고분자학회 2017 Macromolecular Research Vol.25 No.1

Besides excellent physical performances, graphene oxide (GO) has been widely acknowledged as a potential antibacterial material. Chemical modification of GO was taken out with polypyrazole by facile amidation in the presence of dicyclohexylcarbodiimide (DCC) and then generated polypyrazole-graphene oxide (FGO) nanohybrid. FGO nanohybrid showed smooth and multilayer structures by scanning electron microscopy. The value of static water contact angle of FGO is 103o, suggesting FGO was a hydrophobic material. Thermo gravimetric analysis of FGO showed a 65% mass loss up 50 to 600 oC, suggesting that FGO is a thermal stability material. Inactivation efficiency test of nominal Escherichia coli cells showed that the viability greatly decreased to 7% after 4 h incubation with FGO under 37 oC, indicating an outstanding antibacterial ability of FGO much better than that of polypyrazole and GO.

Evaluation of Non-isothermal Melt Crystallization Kinetics of the Poly(lactic acid)/Graphene Composites under Variant Cooling Circumstances via Solidification Analysis Approach

Bin Yang,Peng Zhang,Shu-Chun Zhao,Ru Xia,Li-Fen Su,Ji-Bin Miao,Peng Chen,Jia-Sheng Qian,You Shi 한국고분자학회 2019 폴리머 Vol.43 No.5

The poly(lactic acid) (PLA)/graphene (GN) composites were prepared by solution blending. An in situ measurement technique was adopted to examine the non-isothermal crystallization of PLA/GN composites, which was different from the typical circumstances at constant cooling rate in DSC. The rheological properties of the samples were investigated, and the Carreau-A model was applied to non-linearly fit the rheological data. The non-isothermal crystallization kinetics and solidification behaviors at variant cooling rates were investigated using a modified version of Avrami equation by Jeziorny coupled with three-parameter model (TPM) and four-parameter model (FPM). Our findings showed that the viscosity of the PLA/GN composites dropped with increasing shear rate or GN content. Crystallization kinetic analysis suggested that GN served as an effective nucleating agent for PLA under non-isothermal melt crystallization conditions with variant cooling rate.

Efficient removal of pentachlorophenol from wastewater by novel hydrophobically modified thermo-sensitive hydrogels

Bin Yang,Dan Xu,Xiaolin Wu,Zhongjian Li,Lecheng Lei,Xingwang Zhang 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.25 No.-

Poly (N-isopropyl acrylamide-co-butyl acrylate) (PNIPAM-BA) hydrogels were synthesized by copolymerization of N-isopropyl acrylamide (NIPAM) with butyl acrylate (BA), which have been proposed as adsorbents for the efficient removal of hydrophobic organic pollutants, e.g. pentachlorophenol (PCP). Adsorption experiments showed high removal efficiencies of PCP. The isotherm experimental data of PCP fitted Langmuir model, and the adsorption capacity of PNIPAM-11% BA hydrogel was greater than that of the original PNIPAM hydrogel. It is possibly due to the enhanced interaction between the hydrophobically modified hydrogels and PCP. Moreover, the PNIPAM-BA hydrogels could be easily recycled by the desorption process at 323 K in solution.

Study on Crystallization Kinetics of Dynamically-Vulcanized PP/EPDM Blends

Bin Yang,Yan-Li Deng,Xia Ru,Ji-Bin Miao,Ming Cao,Jia-Sheng Qian,Li-Fen Su,Peng Chen,Jing-Wang Liu,La-Xia Wu,Tao Pang 한국고분자학회 2016 폴리머 Vol.40 No.4

Two types of β nucleating agents (β-NAs), aryl dicarboxylic acid amide (TMB-5) and diphenyl phthalate diamine (NT-C), were adopted to modify the polypropylene (PP)/ethylene propylene diene monomer (EPDM) blends, which were prepared by dynamic-vulcanization technology. Wide angle X-ray diffraction (WAXD) and differential scanning calorimetry (DSC) were used to study the crystallization kinetics of PP. Our results showed that the addition of β-NAs can considerably increase the crystallization temperature, and significantly decrease the spherulite size of β-PP (L300). The Jeziorny analysis showed there were ~82% and ~89% of relative crystallinity generated from the primary crystallization in the composites containing TMB-5 and NT-C, respectively. The crystallization half time (t0.5) showed that NT-C improved the overall crystallization rate more effectively than TMB-5. In addition, the peaks of the relative crystallization rate curves were shifted towards higher temperature by 14 and 9℃ with the addition of TMB-5 and NT-C, respectively.

Effect of Different Nanofillers on Non-Isothermal Crystallization Kinetics and Electric Conductivity of Dynamically-Vulcanized PP-EPDM Blends

Bin Yang,Lei Hu,Ru Xia,Fang Chen,Shu-Chun Zhao,Yan-Li Deng,Ming Cao,Jiasheng Qian,Peng Chen 한국고분자학회 2016 Macromolecular Research Vol.24 No.1

In this study, nanofillers composed of hydroxylated carbon nanotubes (h-CNT), carbon nanotubes (CNT) and graphene (GR) were separately added into the dynamically-vulcanized polypropylene (PP)/ethylene-propylenediene monomer (EPDM) blend. Differential scanning calorimetry (DSC), wide-angle X-ray diffraction (WAXD) and electrical resistivity measurements were employed to study the effect of nanofillers on the melt behavior, non-isothermal crystallization behavior and electrical conductivity of the prepared composites. WAXD results showed that h-CNT had a better induction effect of β-PP in the nanocomposites. The sequence of the activity in inducing the formation of β-PP was h-CNT>GR>CNT. However, the total crystallinity of the nanocomposites nearly remained constant. Non-isothermal crystallization kinetic analysis indicated that the presence of nanofillers improved the crystallization rate of the nanocomposites. The consequence of nucleation activity was as follows: CNT>GR>h-CNT. Although EPDM hindered the macromolecular motion of PP, interestingly it could increase the crystallization rate to an extent. Besides, the influence of nanofillers on enhancing the conductive property of the nanocomposites can be ranked as follow: CNT>GR>h-CNT.

A BIM-Based Approach to Automated Prefabricated Building Construction Site Layout Planning

Bin Yang,Tengwei Fang,Xiaoqun Luo,Boda Liu,Miaosi Dong 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.4

Construction site layout planning (CSLP) is a typical problem in construction site management that urgently needs to be solved. A reasonable construction site layout can improve efficiency and reduce costs and unnecessary loss of time. To solve the CSLP problem, some emerging optimization algorithms and enhanced mathematical models have been developed. The building information model (BIM) provides data support for the implementation of previous research. However, manually extracting and modifying parameters from the BIM for use in optimization algorithms is cumbersome in practical applications, wasting considerable time and human resources. In this paper, we propose a framework of automated prefabricated building CSLP to realize the integration of the BIM and an optimization algorithm, which utilizes the Dynamo visual programming platform to create an information channel between the BIM and the optimization algorithm. A typical and practical case, which is optimized by the genetic algorithm (GA) and particle swarm optimization (PSO), is demonstrated to validate the proposed approach and to show an effective reduction in material transportation cost and unnecessary loss of time.

Frame Structural Sizing and Topological Optimization via a Parallel Implementation of a Modified Particle Swarm Algorithm

Bin Yang,Kai-Uwe Bletzinger,Qilin Zhang,Zhihao Zhou 대한토목학회 2013 KSCE Journal of Civil Engineering Vol.17 No.6

As a comparatively new developed stochastic method - Particle Swarm Optimization (PSO), it is widely applied to various kinds of optimization problems especially of nonlinear, non-differentiable or non-concave types. In this paper, a Parallel Modified Guaranteed Converged Particle Swarm algorithm (PMGCPSO) is proposed, which is inspired by the Guaranteed Converged Particle Swarm algorithm (GCPSO) proposed by von den Bergh. Details in the algorithm implementation and properties are presented and, an analytical benchmark test and structural sizing and topological test cases are used to evaluate the performance of the proposed PSO variant, PMGCPSO exhibited competitive performance due to improved global searching ability and its corresponding parallel model indicates nice parallel efficiency.

Using Additive Expression Programming for Gene Regulatory Network Inference

Bin Yang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.7

Gene regulatory networks depict the interactions among genes in the cell and construction of networks is important in uncovering the underlying biological process of living organisms. In this paper, a non-linear differential equation model is used for gene regulatory network reconstruction and time-series prediction. A new model, called additive expression tree (AET) model is proposed to encode ordinary differential equations (ODEs). A new structure-based evolutionary algorithm and artificial bee colony (ABC) are used to optimize the architecture and parameters of the additive expression tree model, respectively. A synthetic data and two real time-series expression datasets are used to test the validity of our proposed model and hybrid approach. Experimental results demonstrate that our model could improve accuracy of microarray time-series data effectively.

Solving Truss Topological Optimization via Swarm Intelligence

Bin Yang,Qilin Zhang,Zhihao Zhou 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.7

Structural topological optimization is the most general form of structural optimization and requires a less detailed description of the concept. One of the most exciting and challenging problems in this field is to find optimized layouts with minimization of compliance (maximization of stiffness) for a given total mass of the structure discretized by truss members, which cannot be well solved by evolutionary algorithms. Particle Swarm Optimization (PSO) is a new paradigm of Swarm Intelligence which is inspired by concepts from ‘Social Psychology’ and ‘Artificial Life’. PSO is particularly a preferable candidate to solve highly nonlinear, nonconvex and even discontinuous problems and has been applied to many different kinds of optimization problems. The motivation of this paper is to propose an enhanced Lbest based PSO and geometrical consistency check tightly connecting to the ground structure approach to break through in this optimization field. Through a popular benchmark test, two kinds of Modified Lbest based PSO (MLPSO) exhibited competitive performance due to improved global searching ability.