Determination and Application of Maximum Efficiency Curve of Crawler Electric Tractor Motors

With the excessive use of fossil fuels such as oil, the energy crisis and environmental pollution have become important problems related to people’s livelihoods. In agriculture, as a new type of green agricultural machinery, the electric tractor has the advantages of high energy utilization and no exhaust emission. The motor is the core component of an electric tractor’s drive system. Its characteristics and control directly affect a tractor’s operating efficiency, operating quality, and energy consumption. A motor drive control scheme based on a characteristic curve at the maximum efficiency of an electric motor was adopted to address the problems of low motor power utilization and short continuous operation time on a full charge in electric tractors. By leveraging methods to obtain characteristic curves at the lowest fuel consumption for gasoline engines, we determined the characteristic curve at the maximum efficiency for a motor in a crawler-type electric tractor. Plowing is the most basic form of tractor operation, and it represents the agricultural work that accounts for most of a tractor’s use. A field test was conducted on the drive control in plowing operation based on the curve, and the energy consumed to plow each m2, continuous plowing operation time on a full charge, and operating efficiency were tested. The test results showed plowing power consumption per m2 of about 8.40 × 10−3 kWh and work efficiency of 707.07 m2/h. Compared with the traditional tractor, the cost of plowing 1 m2 by the crawler-type electric tractor was reduced by 20.3%–32.5%. Because the control improves operating efficiency, battery energy consumption is reduced and continuous operation time is extended; hence, the control achieves its purpose.

SYNTHESIS OF AN ADAPTIVE CONTROL SYSTEM FOR AN ELECTRIC DRIVE WITH A PRONOUNCED NONLINEARITY OF THE WORKING ELEMENT CHARACTERISTIC

The article explores the possibility of constructing an electric drive control system for the crane movement mechanism with damping of load vibrations. The proposed system includes an adaptive module, which, with the help of an exemplary model, provides control correction based on misalignment signals with changes in the weight of the load and the length of the suspension.

Implementation of PI and MPC-Based Speed Controllers for a Drive with Elastic Coupling on a PLC Controller

This paper presents some of the issues related to the implementation of advanced control structures (PI controller with additional feedback, Model Predictive Controller) for drives with elastic coupling on a programmable logic controller (PLC). The predominant solutions to electric drive control include the use of rapid prototyping cards, signal processors or programmable matrices. Originally, PLC controllers were used to automate sequential processes, but for several years now, a trend related to their implementation for advanced control objects can be observed. This is mainly due to their compact design, immunity to disturbances and standard programming languages. The following chapters of the paper present the mathematical model of the drive and describe the implementation of the proposed control structures. A PI controller with additional feedback loops and a predictive controller are taken into consideration. Their impact on the CPU load was analysed, and the work was summarised by a comprehensive experimental study. The presented results confirm that it is possible to implement advanced control structures on a PLC controller for drives with elastic coupling while maintaining a sufficiently low load on its CPU.

Development of an intelligent electric drive control system anchor winch

Данная работа посвящена моделированию интеллектуальной системы управления электроприводом якорной лебедки с применением теории нечетких множеств. Был приведен анализ существующих систем управления электроприводами якорно-швартовных узлов основанных на различных традиционных схемах регулирования, показаны достоинства и недостатки традиционных систем управления, а также выявлены основные возмущения, носящие существенно-недетерминированный характер. Процедуры интеллектуального управления в реализуемой модели системы управления электроприводом реализуются нечетким регулятором. Интеллектуальная система управления в своей основе имеет нечеткий регулятор с алгоритмом вывода Сугено, формализация входных сигналов по ошибке осуществляется двумя лингвистическими переменными. Кроме того, показано преимущество предлагаемого подхода при построении систем управления электроприводами якорно-швартовных узлов на основании базовых показателей качества. This paper is devoted to the modeling of an intelligent control system for the electric drive of an anchor winch using the theory of fuzzy sets. The analysis of the existing control systems for electric drives of anchor and mooring units based on various traditional control schemes was given, the advantages and disadvantages of traditional control systems were shown, and the main disturbances of a significantly non-deterministic nature were identified. Intelligent control procedures in the implemented model of the electric drive control system are implemented by a fuzzy controller. The intelligent control system is based on a fuzzy controller with the Sugeno output algorithm, the formalization of input signals by error is carried out by two linguistic variables. In addition, the advantage of the proposed approach in the construction of control systems for electric drives of anchor and mooring units on the basis of basic quality indicators is shown.

Multi-motor Drive Control Method of Upper-Retort-Robot Based on Machine Vision

A research on the multi-motor drive control method of the upper-retort-robot based on machine vision is proposed in this paper for wine brewing automation to suffice the demand of military areas situated in cold regions as wine is recommended to keep the body temperature of soldiers normal in highly cold regions of China. Based on machine vision, the target is converted into an image signal by an image pickup device and is sent to the image processing system. The pixel distribution, brightness, color and other information are converted into digital signals and the target features are extracted to control the actions of the field equipment. The Monte-Carlo method is exploited to randomly generate joint variables within the variation range of each joint. The positive aspects of kinematics model are utilized and the working space of the upper-retort-robot is calculated using multi-motor drive control method. The multi-motor drive compensates the harmonic ripple torque, and establishes the fault-tolerant automatic control of the system to maintain quality of the liquor. The experimental results show that the robot arm can reach at any position in the barrel within the defined range. The robot will work in an automated mode to control the quality of the liquor. The transmission performance of the robot can meet the requirements of the automated quality control of the liquor during processing of wine from grapes. The results are obtained for robot transmission performance and robot dexterity which proves the robustness and viability of the proposed multi-motor drive control method (MMDCM).

Design of stepper motor driver based on STM32

In the field of industrial control, stepping has been widely used as an actuator. For this article, based on STM32F103 as the control core, the functions of start and stop, forward rotation, reverse rotation and speed regulation of the stepping motor are realized through four buttons. The system uses L293D to drive a stepper motor, LED0 and LED1 two status lights display the motor’s forward and reverse rotation status, and the digital tube displays the current stepper motor speed. The whole system includes L293D module, button module, status light module and speed display module. The whole system is modeled, theoretically analyzed and simulated based on the drive control principle of the stepper motor, and the precise and stable control performance of the system under different occasions is further verified through experiments.

Evaluation and Comparative Analysis of Speed Performance of Brushless DC Motor using Digital Controllers

This paper presents modeling, performance evaluation, and comparative analysis of speed performance of brushless DC motor (BLDCM) by using digital controllers. Speed performance analysis is carried out by using time response specifications which are useful for determining the effectiveness of the digital controllers. The wide spread of BLDCM in many areas due to the advantages of BLDCM over the conventional widely used motors such as induction motor and brushed DC motor. Advantages of BLDCM include higher efficiency, lower maintenance, longer life, reduced losses, single excitation, etc. Controllers are used to improve the transient and steady state speed response of the BLDCM. In many applications conventional PID controller is widely used to control the speed of the BLDCM but the main issue with the conventional PID controller is that it requires manual tuning of the parameters such as proportional, integral, and derivative gain constant. Even though the autotuning methods are available with the PID controller it is not adaptive itself to handle the conditions such as variations in parameters, disturbances in load, etc. In this Paper the Fuzzy-PID controller is used to control the speed of the BLDCM and Transient and steady state speed performance analysis is carried out using conventional PID controller and Fuzzy-PID to showcase the comparative analysis between two controllers. MATLAB/SIMULINK environment is used for modeling of the BLDCM and its drive/control system. Keywords: Brushless DC Motor (BLDCM), Fuzzy Logic Controller (FLC), Modeling of BLDC drive/control system, of PID controller, Transient and steady state analysis