Measurement, Control, and Automation

Anti-Sway and Position Control for Double-Pendulum Crane Using IS-ADRC Controller

2022-05-06T03:20:47+00:00

Gantry cranes are widely used in various fields such as industry and transportation. However, during operation, the crane generates unwanted payload vibration, causing difficulties in operation and safety at work. Especially with double-pendulum cranes, this is even more serious. This paper proposed ADRC and Input Shaping combination controller in controlling trolley position and suppressing payload vibration. The Equal Shaping-Time and Magnitude (ETMn) is presented for comparison with traditional Input Shaping method. Simulation results show the effectiveness of the proposed method.

Simulation Studies and Control of Membrane Vibration in Air Sampling Pumps

2022-03-07T11:28:47+00:00

The manuscript presents numerical results of the vibrations of the membrane of a low-power sampling pump for quality assurance of air around industrial parks. We consider a three-dimensional membrane undergoing the influences of its materials and vibration amplitudes. Four materials are used to investigate with the membrane’s amplitude varied in the range of 2-8 mm. The results provide an optimal option for the selected pump. Moreover, we also introduce a PID controller for this pump.

Design and Development of Ultra-wideband Antennas for Wireless Transceivers in Industrial Environments

2022-05-04T04:11:30+00:00

In this paper, an ultra-wideband transceiver antenna system consisting of a TEM horn antenna for receiver and a triangle monopole antenna for transiver, has been studied and fabricated. These antennas is intergrated in circuit of a UWB sensor networks, applicable to wireless communication systems using ultra-wideband technology in industrial environments with special operating conditions. Simulation and measurement results have shown that the designs meet the requirements of the system. The antenna system has a wide operating bandwidth between 1GHz and 8GHz and offers high efficiency and great gain over the entire frequency band.

Sensorless Speed Control of Axial Gap Permanent Magnet Motor Using Sliding Mode Observer

2022-03-18T07:53:33+00:00

The permanent magnet synchronous motor drive system incorporates magnetic bearings to perform high speed control and balance rotor control between the two stators. The paper designed a system to perform adjusting motor speed sensor-less based on measured current, axial position and voltage reference components. The electromotive force (back-EMF) generated in the stator is estimated by a Sliding mode observer. The angular position and velocity rotor is calculated through the α-β com-ponents of the back-EMF. An improved phase-locked loop to correct the estimated angular position to exactly follow the true value. The motor drive is built in a vector control structure based on field-oriented control. The simulation results show that the proposed phase-locked loop-coupled observer is fully capable of meeting system control requirements in the medium speed range and above.

Switching Control in the Dynamic Wireless Charging System for Electric Vehicles

2022-04-28T09:56:18+00:00

To reduce magnetic field radiation and power loss in the dynamic wireless charging system for electric vehicles, normally the power is not supplied to the entire transmission lane, but only to the transmission segments where the electric vehicle passes. This paper proposes a new method for switching control of transmission lane segments according to the electric vehicle position. The proposed method does not need to use additional sensors, cameras, or other devices to recognize the electric vehicle position, but simply measures the current on the coils below the transmission lane. In addition, the switching control position had chosen so that the power pulsation is minimal. Research results have shown the switching order of the modules in the transmission lane, electric vehicle position is recognized accurately, the maximum power pulse rate is 8.3%.

Polarization-Insensitive 2.45 GHz Rectenna Using Hybrid Coupler for Wi-Fi Energy Harvesting Application

2022-04-20T11:28:55+00:00

A polarization-insensitive dual-polarized rectenna with a hybrid coupler strategy for Wi-Fi energy harvesting applications is proposed in this paper. With a dual-polarized antenna, the incident wave can be received and divided into the horizontally and vertically polarized components, which are equally redistributed by a hybrid coupler. The power equally delivered to the two rectifiers is independent of the incident wave’s polarization. By the equal power routing similarly, two rectifiers are designed and analyzed. In the simulation, the maximum efficiency of 58.15% has been measured with a 600 Ω load at 2.45 GHz.

Improved Predictive Control for Induction Motor Drives Fed by Cascaded H-bridge Multilevel Inverters

2022-05-06T02:17:10+00:00

The cascaded H-bridge multi-level inverter (CHB) is an effective solution for three-phase induction motors (IM) because the voltage has multiple levels resulting in much reduced voltage growth per winding dv/dt, low voltage harmonics. Previous studies have used model predictive control (MPC) for CHB inverters. The predictive control algorithms of traditional finite control set MPC (FCS-MPC) often have steady-state errors when operating at low sampling frequency or inappropriate parameters in the prediction model, by which, the existance of system model deviation leads to the static error. Therefore, this paper proposes a method to build a new current prediction equation with an integral component for the purpose of compensating for model error. This alternative is tested with a cascaded H-bridge multilevel inverter system for IM. The simulation results show that this improved method has eliminated the static error of the motor current on the rotational coordinate system dq, but still ensures the dynamic characteristics of the transmission system and the optimization objectives of switching and common-mode voltage.

Nonlinear Control of A 3-DOF Robotic Arm Driven by Electro-pneumatic Servo Systems

2022-02-17T03:06:36+00:00

The paper proposes an effective control approach to a 3-DOF serial robotic arm actuated by electro-pneumatic servo systems (EPSS). The robot control problem is divided into robot dynamics and pneumatic actuators sub-systems, and the control is subsequently elaborated for each sub-system. The challenging task arises when dealing with pneumatic systems where system parametric information is very difficult to acquired correctly. Hence, the Lyapunov based control is formulated to derive the control signal in presence of system disturbances and system uncertainties thank to the integrated disturbance observer. The closed-loop system stability is analytically proven through a series of Lyapunov candidate functions. Co-simulations based on Matlab/Multibody and Solidwork are carried out to demonstrate the control validity.

Personal Verification Based on Finger Knuckle Print Pecognition System Using Raspberry Pi

2022-05-23T07:07:39+00:00

This paper proposes an approach for personal verification based on
finger knuckle recognition (FKR) system using Raspberry Pi 4 and
Pi camera. We evaluate and compare some advanced methods for
biometric feature extraction and matching in terms of recognition
accuracy and computational time. From the evaluation and analysis,
we found that the Binary Orientation Cooccurrence Vector
(BOCV)-which is previously often used for palmprint recognition,
is the method of choice for our low-cost and real time FKR system.
Along with evaluating our data, we also assess some recent methods on the Hong Kong Polytechnic University Contactless Finger
Knuckle Images Database. Experiments show that the BOCV
method obtains the accuracy over 90% and offers realtime recognition.

Control of 2-DOF Robot Manipulator Using T-S Fuzzy Approach

2022-05-11T08:05:18+00:00

In recent years, the application of robots in the production process is very popular. This increases productivity for production systems.
But stable control of the robot system is quite difficult due to the non-linearity of the robot model. In this paper, we propose to use the
Takagi-Sugeno fuzzy controller to control the robot with 2-DoF, which helps to reduce the complexity of the system model and at the same time
ensures the stability of the robot system even when has the effect of disturbance components and improves the trajectory tracking performance.
The control algorithm is proven stable by the Lyapunov stability theory combined with the LMI linear matrix inequality. The control rule
Parallel Distributed Compensation (PDC) is built by assembling the sub-control rules corresponding to the submodels of the Takagi-Sugeno
fuzzy model. The simulation results demonstrate the effectiveness of the proposed control method when comparing with the conventional PID
controller.