Mien Trinh Luong | The University Of Transport and Communications (original) (raw)
Papers by Mien Trinh Luong
International Journal of Scientific & Engineering Research, 2019
This article refers to the design of a new controller to regulate the pressure in the setting cha... more This article refers to the design of a new controller to regulate the pressure in the setting chamber of a hypersonic wind tunnel. By inheriting, then developing the mathematical model of the hypersonic wind tunnel pressure process, firstly the paper presents the design of the traditional PID by the Skogestad method. And then, a new fuzzy self-tuning PID controller by combining traditional PID and fuzzy logic calculation block is presented in this article. These blocks are responsible for online tuning of the traditional PID parameters. Simulation results on Matlab, indicate that the proposed new fuzzy self-tuning PID controller improves the quality of the hypersonic wind tunnel pressure control system with small overshoot, fast response time, small-steady-state-error.
Advances in Science, Technology and Engineering Systems Journal, 2019
This article presents a nonlinear model of the continuous weighing conveyor system as considering... more This article presents a nonlinear model of the continuous weighing conveyor system as considering the delay time of material transport, and then given a novel two-loop control strategy based on PID combined with fuzzy logic: inner velocity control loop and outer mass flowrate control loop. Then, two designed controllers for the velocity and mass flowrate control loops are simulated and evaluated in MATLAB. After that, experimental setup of real-time weighing conveyor system is built in the UTC's laboratory. Finally, these controllers are installed into PLC to control the material mass flowrate following on the reference input. The simulation and experimental results show that the proposed fuzzy-PID algorithm is right and able to improve the material mass flowrate control quality in industrial continuous weighing conveyor system using PLC controller.
International journal of engineering research and technology, 2017
Liquid level control of coupled-tank is widely used in the chemical industry-the environment is o... more Liquid level control of coupled-tank is widely used in the chemical industry-the environment is often affected by noise. The article deals with the fuzzy-PID controller applied to the nonlinear dynamic model of the liquid level of the coupledtank system, taking into account the effects of noise. Fuzzy-PID controller is designed based on PID initial parameters (determined based on the linear model) and fuzzy logic calculator for tunning PID parameters (suitable for nonlinear models and noise). The study results are caried out throught simulation model on Matlab using the coupled-tank nonlinear model with noise, applying the fuzzy-PID proposed controller, PID based on Ziegler Nichols.
The article proposes the new design structure for remote-continuous-automatic wastewater quality ... more The article proposes the new design structure for remote-continuous-automatic wastewater quality monitoring system via Internet using FTP protocol with static IP address, meeting Vietnamese government regulations. The outlet wastewater of the plant is supplied into the sample container. Here the sensors measure the pH, temperature, COD, TSS parameters displayed in the field, transmit to the local controller, then the data-logger device transmits the original measurement data to the server specified by static IP address. Website interface is also designed to control sampling, monitoring and reporting wastewater quality parameters. The system has been installed and put into operation at HPC factory since 2017. The system works stably, reliably, and good data transmission.
International Journal of Engineering Research and, 2016
Advances in Science, Technology and Engineering Systems Journal
This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then giv... more This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then given a novel adaptive fuzzy-sliding mode controller based on combining sliding mode control with fuzzy logic and Lyapunov function. Firstly, the article proposes an intermediate variable to link signal between two slide surfaces, related to trolley movement and payload swing. Then the fuzzy controller, compensative controller and parameter adaptive update law for the bridge crane are defined. The asymptotic stability of the proposed bridge crane control system is proven based on Lyapunov stability theory. Simulation results show that the adaptive fuzzy-sliding mode controller ensures the trolley follows the input reference with the short settling time, eliminating steady error, and antipayload swing, anti-disturbance.
This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then giv... more This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then given a novel adaptive fuzzy-sliding mode controller based on combining sliding mode control with fuzzy logic and Lyapunov function. Firstly, the article proposes an intermediate variable to link signal between two slide surfaces, related to trolley movement and payload swing. Then the fuzzy controller, compensative controller and parameter adaptive update law for the bridge crane are defined. The asymptotic stability of the proposed bridge crane control system is proven based on Lyapunov stability theory. Simulation results show that the adaptive fuzzy-sliding mode controller ensures the trolley follows the input reference with the short settling time, eliminating steady error, and antipayload swing, anti-disturbance.
International Journal of Engineering Trends and Technology
International Journal of Engineering and Technology, 2016
Gantry crane is used quite commonly in hazardous areas, which increasingly requires strict conrol... more Gantry crane is used quite commonly in hazardous areas, which increasingly requires strict conrol of the gantry crane operation process to improve efficiency and ensure safe gantry crane opeartion. Automated the gantry crane operating process is being applied pupular currently. Gantry crane is often affected by large noise, having the varying-model parameters, so that proposed a apdaptive fuzzy combining sliding mode controller for the gantry crane in this article. This control method derived from combining the sliding surfaces of three subsystem of the gantry crane (trolley position, rope length, anti-swing) to draw out two system sliding surfaces: the trolley positon with the anti-swing and the rope length and the anti-swing. On the based of the sliding mode control principle,drawn out the equivalent controller and the switching controller for gantry crane. But due to the uncertain parameters-nonlinear model of gantry crane with the bound disturbances, combining the fuzzy approximate method, defined the fuzzy controller (used to minic the equivalent controller) and the compensation controller for the difference between the equivalent controller and the fuzzy controller (used as the switching controller) for two system control inputs: trolley position and rope length The adaptive control laws for these controllers were deduced from Lyapunov's stable criteria to asymptotically stabilize the sliding surfaces. Simulation results demonstrated the feasibility of the suggested method through grantry crane in the hazard areas. Keyword: gantry crane, adaptive controller, adaptive fuzzy controller, sliding mode control, varying rope length I. INTRODUCTION In recent years, many modern gantry cranes have brought to the increasingly common use in the transport industry for loading and unloading of goods, in the construction industry to move materials or in the manufacturing industry to assembly of heavy equipments that can not use human power. According to the traditional operation way, as moving the trolley, the hoisting rope length is fixed. However in some cases, to reduce the transportation process time, we can operate simultaneously the gantry crane moving the trolley and lifting/lowering the payloads. This will increase the risk of unsafety for people and equipments because of oscillating of the package. Although following on experimented operators, can reduce the oscillation of the payload, but that would add reducing the efficiency of freight. Therefore, automating the gantry crane operation process to enhance accuracy simultaneously for moving the trolley and lifting/lowering payload, anti-swing angle of payload, reducing transportation time, increasing safety during crane operation , is essential and is also the most basic requirements of the gantry crane operation. Control proplem of the grantry crane is always attractive in many science reseachers and have been published on many papers in prestige science journals. Allmost of controlllers of the grantry crane are designed based on the nonlinear model or the linearized model, and unchangeable rope length. In [1] presented an adaptive controller for a linearized crane system. In [2] considered a linearized parameter-varying model of a planar crane and proposed an observer-based control design via Lyapunov equivalence function. Paper [3] dealed wih adaptive sliding mode fuzzy control approach for a linearized two dimension overhead crane system. In [4,5,6] presented PID controller combined with fuzzy logic for a linearized crane model. These methods based on the linearized crane model may lose the sufficient accuracy of information about position and load swing, so that some uncertain factors may reduce the performance of these crane control systems. Having some papers dealed with the crane control design based on nonlinear dynamical models. In [7] presented the adaptive fuzzy controller based on the troley position error and sway angle error. The article [8] refered to the nonlinear optimal control. The article [9] presented the neural network controller for the crane. The sliding mode control (SMC) method can be found in the articles as follows: the coupling SMC [10,11], the SMC combined with fuzzy logic [12], the adaptive SMC [13, 14], the decoupling SMC [15]. The SMC method was proceeded based on the characteristics of the crane: the trolley and the hoist lifting/lowering the payload as unchanging rope length. For instance, [10,11] defined a sliding surface coupling both subsystems, [12] split a crane system and rebuilt the system states to achieve the hierarchical SMC controllers, [13] utilized such the divisibility to design a fuzzy sliding surface for trolley subsystem. The divisibility of crane systems were also adopted for the control design in [14,15].
International Journal of Scientific & Engineering Research
Advances in Science, Technology and Engineering Systems Journal
The paper presents a novel control strategy applying the particle swarm optimization (PSO) algori... more The paper presents a novel control strategy applying the particle swarm optimization (PSO) algorithm to optimize the scaling weights coefficients of the fuzzy-PID controller for the resistance furnace temperature control system, called PSO-based fuzzy-PID controller/ algorithm. The proposed PSO-based fuzzy-PID controller in this paper consist of the fuzzy-PID controller and the PSO algorithm. The proposed fuzzy-PID controller is combination of the advantage of PID control and fuzzy logic control. Firstly, the paper presents the mathematical model of the resistance furnace by identification method, based on the experimental data. Then, the design of the fuzzy-PID controller is given in this study. And then, the paper presents the design of the temperature control board using PIC16f with the installed PSO-based fuzzy-PID algorithm. Finally, the simulation and experimental results proved the stability of the proposed PSO-based fuzzy-PID controller with the disturbance, improved the furnace temperature control quality, through obtained major control criteria, such as overshoot, steady-state error, settling time, rising time.
International Journal of Scientific & Engineering Research, 2019
This article refers to the design of a new controller to regulate the pressure in the setting cha... more This article refers to the design of a new controller to regulate the pressure in the setting chamber of a hypersonic wind tunnel. By inheriting, then developing the mathematical model of the hypersonic wind tunnel pressure process, firstly the paper presents the design of the traditional PID by the Skogestad method. And then, a new fuzzy self-tuning PID controller by combining traditional PID and fuzzy logic calculation block is presented in this article. These blocks are responsible for online tuning of the traditional PID parameters. Simulation results on Matlab, indicate that the proposed new fuzzy self-tuning PID controller improves the quality of the hypersonic wind tunnel pressure control system with small overshoot, fast response time, small-steady-state-error.
Advances in Science, Technology and Engineering Systems Journal, 2019
This article presents a nonlinear model of the continuous weighing conveyor system as considering... more This article presents a nonlinear model of the continuous weighing conveyor system as considering the delay time of material transport, and then given a novel two-loop control strategy based on PID combined with fuzzy logic: inner velocity control loop and outer mass flowrate control loop. Then, two designed controllers for the velocity and mass flowrate control loops are simulated and evaluated in MATLAB. After that, experimental setup of real-time weighing conveyor system is built in the UTC's laboratory. Finally, these controllers are installed into PLC to control the material mass flowrate following on the reference input. The simulation and experimental results show that the proposed fuzzy-PID algorithm is right and able to improve the material mass flowrate control quality in industrial continuous weighing conveyor system using PLC controller.
International journal of engineering research and technology, 2017
Liquid level control of coupled-tank is widely used in the chemical industry-the environment is o... more Liquid level control of coupled-tank is widely used in the chemical industry-the environment is often affected by noise. The article deals with the fuzzy-PID controller applied to the nonlinear dynamic model of the liquid level of the coupledtank system, taking into account the effects of noise. Fuzzy-PID controller is designed based on PID initial parameters (determined based on the linear model) and fuzzy logic calculator for tunning PID parameters (suitable for nonlinear models and noise). The study results are caried out throught simulation model on Matlab using the coupled-tank nonlinear model with noise, applying the fuzzy-PID proposed controller, PID based on Ziegler Nichols.
The article proposes the new design structure for remote-continuous-automatic wastewater quality ... more The article proposes the new design structure for remote-continuous-automatic wastewater quality monitoring system via Internet using FTP protocol with static IP address, meeting Vietnamese government regulations. The outlet wastewater of the plant is supplied into the sample container. Here the sensors measure the pH, temperature, COD, TSS parameters displayed in the field, transmit to the local controller, then the data-logger device transmits the original measurement data to the server specified by static IP address. Website interface is also designed to control sampling, monitoring and reporting wastewater quality parameters. The system has been installed and put into operation at HPC factory since 2017. The system works stably, reliably, and good data transmission.
International Journal of Engineering Research and, 2016
Advances in Science, Technology and Engineering Systems Journal
This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then giv... more This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then given a novel adaptive fuzzy-sliding mode controller based on combining sliding mode control with fuzzy logic and Lyapunov function. Firstly, the article proposes an intermediate variable to link signal between two slide surfaces, related to trolley movement and payload swing. Then the fuzzy controller, compensative controller and parameter adaptive update law for the bridge crane are defined. The asymptotic stability of the proposed bridge crane control system is proven based on Lyapunov stability theory. Simulation results show that the adaptive fuzzy-sliding mode controller ensures the trolley follows the input reference with the short settling time, eliminating steady error, and antipayload swing, anti-disturbance.
This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then giv... more This article presents a bridge crane nonlinear dynamic model in 2-dimensional space, and then given a novel adaptive fuzzy-sliding mode controller based on combining sliding mode control with fuzzy logic and Lyapunov function. Firstly, the article proposes an intermediate variable to link signal between two slide surfaces, related to trolley movement and payload swing. Then the fuzzy controller, compensative controller and parameter adaptive update law for the bridge crane are defined. The asymptotic stability of the proposed bridge crane control system is proven based on Lyapunov stability theory. Simulation results show that the adaptive fuzzy-sliding mode controller ensures the trolley follows the input reference with the short settling time, eliminating steady error, and antipayload swing, anti-disturbance.
International Journal of Engineering Trends and Technology
International Journal of Engineering and Technology, 2016
Gantry crane is used quite commonly in hazardous areas, which increasingly requires strict conrol... more Gantry crane is used quite commonly in hazardous areas, which increasingly requires strict conrol of the gantry crane operation process to improve efficiency and ensure safe gantry crane opeartion. Automated the gantry crane operating process is being applied pupular currently. Gantry crane is often affected by large noise, having the varying-model parameters, so that proposed a apdaptive fuzzy combining sliding mode controller for the gantry crane in this article. This control method derived from combining the sliding surfaces of three subsystem of the gantry crane (trolley position, rope length, anti-swing) to draw out two system sliding surfaces: the trolley positon with the anti-swing and the rope length and the anti-swing. On the based of the sliding mode control principle,drawn out the equivalent controller and the switching controller for gantry crane. But due to the uncertain parameters-nonlinear model of gantry crane with the bound disturbances, combining the fuzzy approximate method, defined the fuzzy controller (used to minic the equivalent controller) and the compensation controller for the difference between the equivalent controller and the fuzzy controller (used as the switching controller) for two system control inputs: trolley position and rope length The adaptive control laws for these controllers were deduced from Lyapunov's stable criteria to asymptotically stabilize the sliding surfaces. Simulation results demonstrated the feasibility of the suggested method through grantry crane in the hazard areas. Keyword: gantry crane, adaptive controller, adaptive fuzzy controller, sliding mode control, varying rope length I. INTRODUCTION In recent years, many modern gantry cranes have brought to the increasingly common use in the transport industry for loading and unloading of goods, in the construction industry to move materials or in the manufacturing industry to assembly of heavy equipments that can not use human power. According to the traditional operation way, as moving the trolley, the hoisting rope length is fixed. However in some cases, to reduce the transportation process time, we can operate simultaneously the gantry crane moving the trolley and lifting/lowering the payloads. This will increase the risk of unsafety for people and equipments because of oscillating of the package. Although following on experimented operators, can reduce the oscillation of the payload, but that would add reducing the efficiency of freight. Therefore, automating the gantry crane operation process to enhance accuracy simultaneously for moving the trolley and lifting/lowering payload, anti-swing angle of payload, reducing transportation time, increasing safety during crane operation , is essential and is also the most basic requirements of the gantry crane operation. Control proplem of the grantry crane is always attractive in many science reseachers and have been published on many papers in prestige science journals. Allmost of controlllers of the grantry crane are designed based on the nonlinear model or the linearized model, and unchangeable rope length. In [1] presented an adaptive controller for a linearized crane system. In [2] considered a linearized parameter-varying model of a planar crane and proposed an observer-based control design via Lyapunov equivalence function. Paper [3] dealed wih adaptive sliding mode fuzzy control approach for a linearized two dimension overhead crane system. In [4,5,6] presented PID controller combined with fuzzy logic for a linearized crane model. These methods based on the linearized crane model may lose the sufficient accuracy of information about position and load swing, so that some uncertain factors may reduce the performance of these crane control systems. Having some papers dealed with the crane control design based on nonlinear dynamical models. In [7] presented the adaptive fuzzy controller based on the troley position error and sway angle error. The article [8] refered to the nonlinear optimal control. The article [9] presented the neural network controller for the crane. The sliding mode control (SMC) method can be found in the articles as follows: the coupling SMC [10,11], the SMC combined with fuzzy logic [12], the adaptive SMC [13, 14], the decoupling SMC [15]. The SMC method was proceeded based on the characteristics of the crane: the trolley and the hoist lifting/lowering the payload as unchanging rope length. For instance, [10,11] defined a sliding surface coupling both subsystems, [12] split a crane system and rebuilt the system states to achieve the hierarchical SMC controllers, [13] utilized such the divisibility to design a fuzzy sliding surface for trolley subsystem. The divisibility of crane systems were also adopted for the control design in [14,15].
International Journal of Scientific & Engineering Research
Advances in Science, Technology and Engineering Systems Journal
The paper presents a novel control strategy applying the particle swarm optimization (PSO) algori... more The paper presents a novel control strategy applying the particle swarm optimization (PSO) algorithm to optimize the scaling weights coefficients of the fuzzy-PID controller for the resistance furnace temperature control system, called PSO-based fuzzy-PID controller/ algorithm. The proposed PSO-based fuzzy-PID controller in this paper consist of the fuzzy-PID controller and the PSO algorithm. The proposed fuzzy-PID controller is combination of the advantage of PID control and fuzzy logic control. Firstly, the paper presents the mathematical model of the resistance furnace by identification method, based on the experimental data. Then, the design of the fuzzy-PID controller is given in this study. And then, the paper presents the design of the temperature control board using PIC16f with the installed PSO-based fuzzy-PID algorithm. Finally, the simulation and experimental results proved the stability of the proposed PSO-based fuzzy-PID controller with the disturbance, improved the furnace temperature control quality, through obtained major control criteria, such as overshoot, steady-state error, settling time, rising time.