Articles
<![CDATA[Hardware-in-the-loop based comparative analysis of speed controllers for a two-mass system using an induction motor drive with ideal stator current performance ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Tung Lam Nguyen]]>;
<![CDATA[Vo Thu Ha]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 10, No 2: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v10i2.2370
<![CDATA[A comparative study of speed control performance of an induction motor drive system connecting to a load via a non-rigid shaft. The nonrigidity of the coupling is represented by stiffness and damping coefficients deteriorating speed regulating operations of the system and can be regarded as a two-mass system. In the paper, the ability of flatness based and backstepping controls in control the two-mass system is verified through comprehensive hardware-in-the-loop experiments and with the assumption of ideal stator current loop performance. Step-by-step control design procedures are given, in addition, system responses with classical PID control are also provided for parallel comparisons. ]]>
<![CDATA[Experiment based comparative analysis of stator current controllers using predictive current control and proportional integral control for induction motors ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Tran Trong Minh]]>;
<![CDATA[Nguyen Tung Lam]]>;
<![CDATA[Nguyen Hong Quang]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v9i4.2084
<![CDATA[The stator current control loop plays an important role in ensuring the quality of electric drives interm of producing fast and adequate required torque. When the current controller provides ideal responses, speed control design subsequently is in charge of improving the system performances. Classical PID control is commonly used in current loop design, this paper presents the comparative analysis of current stator controller using proportional integral control and predictive current control (PCC) in field-oriented control-based induction motor drives, with rigidly coupled loads. The experimental results show system responses with PID and PCC. Informative experiment-based analysis provides primary guidance in selection between the two controls. ]]>
<![CDATA[Multilevel inverter application for railway traction motor control ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Pham Thi Giang]]>;
<![CDATA[Phuong Vu]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v11i4.3964
<![CDATA[This paper will present why choosing a 7-level reverse voltage source fed to three-phase induction motors to the railway traction motor. In addition, this paper shows the implementation of space vector pulse width modulation (SVPWM) and the math model of induction motor, stator currents, and speed controller design of electric traction drive system based on field-oriented control (FOC). By MATLAB/Simulink method, this multi-level inverter in FOC structure reduces total harmonic distortion (THD) more than other multi-level inverters such as 3 and 5-level inverter. Furthermore, this FOC control structure combined with 7-level inverter improved speed and torque responses required for railway traction motor load.]]>
<![CDATA[Intelligent torque observer combined with backstepping sliding-mode control for two-mass systems ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Pham Thi Giang]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v13.i4.pp2555-2564
<![CDATA[The construction of a backstepping-sliding mode control using a high-gain observer's neural network for torque estimation is presented in this research. The correctness of the load torque data is crucial to solving the two-mass system control issue. The article suggests a radial basis function neural network topology to handle load torque estimation. When a non-rigid drive shaft is present, the predicted value is merged with backstepping-sliding mode control to ensure speed tracking performance. The closed-stability loop is demonstrated analytically and quantitatively to prove it. Additionally, a high-gain observer-based structure is used to compare the effectiveness of the proposed control. The effectiveness of the proposed control structure is demonstrated by MATLAB simulation.]]>
<![CDATA[Control for induction motor drives using predictive model stator currents and speeds control ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Pham Thi Giang]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v13.i4.pp2005-2013
<![CDATA[This paper is presented for designing a new controller using the predictive model current and speed control method for the asynchronous motor. This control method is based on traditional predictive controller development to have a cascade structure similar to the rotor flux control (field-oriented control) and direct torque control (DTC). Therefore, this control method will have two control loops. Both inner and outer loop controllers use predictive power. The outer ring is speed control, while the internal circle is stator current control. The inner loop is based on the finite control set – model predictive control (FCS-MPC), while the outer ring to take full advantage of the high dynamic response of the inner circle uses the deadbeat MPC. MATLAB simulation results show that this control method has performance equivalent to traditional controllers while minimizing overshoot and having fast, on-demand response times.]]>
<![CDATA[Design and fabrication of a moving robotic glove system ]]>
<![CDATA[Vo Thu Ha]]>;
<![CDATA[Nguyen Thi Thanh]]>;
<![CDATA[Vo Thanh Ha]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v13i3.pp2704-2710
<![CDATA[This paper presents the research, design, and manufacture of a robotic hand to control movement with a glove. The moving glove-controlled robotic hand is based on two main parts: the hand mechanism and the control circuit. The control glove unit includes an Arduino nRF24l01 microcontroller module and five flex sensors for five fingers. These sensors are used to collect data about the curvature of each finger. Then those data will be received by the Arduino microcontroller and sent by the nRF24l01 module. The hand's microcontroller will process that information and control five servo motors so that the five fingers of the robotic hand are moved. The result of this research is to produce a robotic hand that accurately simulates the curvature of a user's finger and mimics the motion of a glove well. Moreover, the robot hand can grip objects of different sizes (from 0.1 to 1 kg) and shapes, from which this robot helps users easily manipulate objects.]]>
<![CDATA[Experiment study of an automatic guided vehicle robot ]]>
<![CDATA[Vo Thu Ha]]>;
<![CDATA[Than Thi Thuong]]>;
<![CDATA[Vo Thanh Ha]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 2: June 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v14.i2.pp1300-1308
<![CDATA[This paper presents the design and control of an autonomous robot-automation guided vehicle (AGV) with a load of 50 kg and a DC motor in theory and experiment. This robot has the function of transporting tools and equipment in the factory. This robot is designed and built control system including hardware and software. In which microcontroller type STM32F407VG is selected to control the primary system. The AGV robot is controlled to move according to the required trajectory. A PID controller controls the DC motor. The AGV robot moves precisely according to the routes set in the factory. At the same time, the AGV has good obstacle avoidance. The results of the proposed solution are proven through simulation and experiment.]]>
<![CDATA[Model predictive control combined reinforcement learning for automatic vehicles applied in intelligent transportation system ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Chu Thi Thuy]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 2: April 2024 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v22i2.25274
<![CDATA[This paper presents the design of model predictive control (MPC) combined reinforcement learning (RL) applied in an intelligent transportation system (ITS). The car is to follow the reference path by the MPC control, and its parks in the parking by RL has been trained. The MPC controller constantly moves the vehicle along the reference path while the MPC algorithm searches for an empty parking spot. Meanwhile, the reinforcement learning-proximal policy optimization (RL-PPO) control will perform parking on demand if the MPC finds a parking position. This hybrid controller can quickly implement programming on MATLAB software by writing code. Furthermore, this hybrid controller simultaneously performs precise detection and avoidance of obstacles in tight parking spaces. The correctness of the theory is demonstrated through MATLAB/Simulink.]]>
<![CDATA[Sliding mode control of a PMSM railway traction drive fed by multi-level inverter ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Vo Quang Vinh]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 6: December 2023 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v21i6.24369
<![CDATA[This work offers the sliding mode control (SMC) based control scheme for a railway traction transmission system fed by a five-level T-type inverter. This nonlinear control approach is created for the speed and torque loop control of the permanent magnet synchronous motor (PMSM) railway traction drive system supplied by a multi-level inverter. The article also includes a mathematical model of a PMSM motor and torque load to design controllers. The paper expressed the vector voltage modulation design incorporating a five-level T-Type inverter. The research proposes a control scheme for the railway traction drive system that enhances transmission quality by lowering the torque ripper and stator current harmonic distortion and extending converter life. Through MATLAB simulation, the study findings are validated.]]>
<![CDATA[A study on PMSM drive systems fed by multi-level inverter using linear quadratic regulator control for electric vehicle applications ]]>
<![CDATA[Vo Thanh Ha]]>;
<![CDATA[Pham Thi Giang]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 4: August 2023 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v21i4.24432
<![CDATA[This paper presents research on a permanent magnet synchronous motor (PMSM) by a 5-level T-type inverter using linear quadratic regulator (LQR) control for speed control. The space vector modulation (SVM) structure for the 5-level T-type inverter to improve the control quality of the PMSM drive system is presented. This paper aims to successfully design a state feedback controller to control motor speed in a permanent magnet synchronous motor drive system. Simulink results are performed with different speed ranges and the same torque load. These results will focus on evaluating quality when the PMSM drive operates at all speeds. MATLAB/Simulink proves the results.]]>
