Anti sway tuned control of gantry cranes

Load swaying is one of the most frequently occurring problems at production sites. The purpose of this work is to create a control system for the movement of an overhead crane with an anti-sway function. The Particle Swarm Optimization method has been used to find the controller coefficients. The crane movement with the anti-sway function should be implemented using a PLC (programmable logic controller) and have a high speed of operation. The frequency converter controls the speed of the drive that moves the crane. The main advantage of the system is its simplicity and low cost combined with the low swaying of the load. The oscillation amplitude with an angular speed regulator is two to three times less in comparison with the control system without the angular speed regulator. The presence of an angular speed regulator minimizes the impact of the load weight and the rope length. The efficiency of the simulator program for calculating angular speed has been tested and confirmed. Verification of the created mathematical model of the crane with experimental installation has been made. Article Highlights An efficient and low-cost anti-sway system for overhead cranes has been developed. The efficiency of the system was tested experimentally, the dependencies of the influence of factors on the sway angle were obtained. The selection of the regulator coefficients is implemented using the particle swarm optimization method coded in C++, which provides high-speed performance and the ability to integrate the algorithm into the PLC of the overhead crane control system.

Speed Adjustment on Variable Frequency Induction Motor Using PLC for Automatic Polishing Machine

PT. ROFENTI KARSA TAMA is a ceramic industry that produces products in the form of ceramics from natural stone which are addressed in Winong GEMPOL Village - MALANG. To produce a perfect ceramic process requires absolutely reliable electrical and mechanical equipment. In an automatic system a frequency converter is used as a speed regulator, because in a manual system using a grinder, the capacity is only 0.57Kw (kilowatts), and the production effect is not good. Therefore, the purpose of this study is to design an automatic polishing machine using a PLC-based converter. Based on the PLC, the capacity is 5 or 5 Kw (kilowatts). This system can increase ceramic output and improve quality. In this case, assuming that the operator usually uses an automatic system to complete the work of the three operators, the polishing machine production costs can be reduced. Through system improvement, production quality can be improved, manual polishing operators can only produce 480 pieces per day, while the automatic system can produce 1,536 pieces. One day, the polishing operator will save production costs of Rp 2.7 million per month.

Terminal sliding mode speed control method of permanent magnet synchronous linear motor based on adaptive parameter identification

In order to make the speed adjustment system of the permanent magnet synchronous linear motor more stable and make the convergence performance of the speed control system better, a speed regulator based on the terminal sliding mode algorithm is proposed. In addition, the permanent magnet synchronous linear motor will also be affected by temperature changes during its operation. Aiming to enhance the adaptability of linear motors to parameter changes, a terminal sliding mode speed control idea based on adaptive parameter identification is proposed. The Popov stability theory and the mathematical model of linear motor are used to construct a parameter identification system. The identification flux parameters are used as the control algorithm of the terminal sliding mode speed regulator and the update matching of speed regulator flux parameters and motor system parameters are realized. Through the above algorithm, the performance of the entire speed control system is improved. The results of simulation experiments can illustrate the effectiveness of this control method and its effect on improving the control performance.

Comparison Of Voltage Measurements on DC Gearbox Motor and PWM Voltage Based On Arduino Uno

In this research, a DC motor tested using the L298 motor driver which is controlled by Arduino as the motor speed regulator and using the PWM method as a speed control signal generator for the DC motor. This research has several stages, namely literature study, arduino-based dc motor design, Arduino-based dc motor production, Arduino-based dc motor testing, then analysis of research results and conclusions are drawn. Testing on this Arduino-bas, ed DC motor was done with several experiments, by adjust the motor speed by setting the pwm value in the program listing section then measuring the pwm output on pin 9 of the Arduino Uno board. Then measurements were made on the right and left side of the motor. This experiment was carried out by setting the pwm value from 15 to 255 to determine the difference in the increase in the PWM output voltage and determine the voltage on the motor and determine the condition of the DC motor. The test results show that the initial motor moves when the set value of PWM = 45, PWM voltage = 0.83 V, right motor voltage = 1.53 V, and left motor = 1.75 V.

Field Oriented Control of Doubly Fed Induction Motor using Speed Sliding Mode Controller

This article presents a modeling and control of the Doubly Fed Induction Motor (DFIM), associated with two inverters controlled through the Pulse Width Modulation technique (PWM), the control of the DFIM is carried out by the approach of Rotor Flux Oriented Control (RFOC) according to the direct axis. In this approach, regulation is done by classic PI regulators, the latter having undesirable overruns and static errors in non-linear systems, for that the introduction of the control by sliding mode in place of the classic PI speed regulator, that is in the form of a control law based on this type of controller since it is invariant to the non-linearity of the system and precise, stable, simple and has a good response time, in order to validate the objectives of improving the DFIM behavior in front of the reference parameters, such as the speed and the torque imposed on the machine. The results of the proposed approach are validated by its implementation on the Matlab/Simulink environment.

On the tuning of a PI speed controller for electric drives by using Simulated Annealing algorithm

This paper presents an investigation on the use of the Simulated Annealing (SA) algorithm to find the best tuning of a PI speed regulator for a speed control DC motor drive. Two control loops will be considered, an inner one for the armature current control and the outer one for the speed. The gains of the PI current regulator will be kept constant whereas the SA will be used to tune the speed regulator. The integral of the absolute of the speed error will be used as the evaluating function. Then, the faster the speed response reaches the speed reference for a load condition, the better the tuning. The range of the proportional and the integral gains will be limited such as the armature voltage and current does not exceed the rated value, keeping the system linear. Because of this, the best tuning of the speed controller can be easily predicted, and the SA algorithm will be put to the test. Two important SA parameters will be changed, what determines how fast the algorithm can converge towards the best solution. Simulation results will be presented, showing how accurate and fast SA can be to find the best tuning for the PI speed regulator.