Development of a Solar Powered DC Drive for Rickshaw

The solar powered DC drive for a rickshaw is an automobile that uses solar energy to drive a DC motor, which in turn move a rickshaw. Due to the challenge of global warming, it has become necessary to make use of power sources that are environmentally friendly or renewable energy. Solar energy is used as the energy source in this design because it is cheap, clean and readily available during the day. This paper employed the use of solar PV which converts the solar energy into electrical energy. The electrical energy generated by the solar PV comes in the rated value of 12 V or 24 V which increases or decreases beyond this rated values depending on the sun intensity. To make use of the varying solar PV voltage, there is need to either buck (stepdown) or boost (step up) or buck-boost (stepdown-step up) the PV voltage to a constant voltage value. Since 12 V DC drive is used, it is required to step up or step down from the voltage range of 10 V to 25 V to 12 V via a buck-boost converter to power the 12 V DC drive. The DC motor control was implemented by embedding the functions of vehicle control in the system. The functions are; run, stop or break, left and right. This function makes the DC drive to control the rickshaw as vehicle. The results shows that rickshaw can be control and driven as a vehicle using solar energy.

Fuzzy algorithm implementation in microcontroller for DC motor control

In industrial automation, motor control technique plays the vital role. Motor consists of inductor or electromagnet. Causing inductor or electromagnet, magnetic inductions are produces which resists any change of motor speed. Hence, according to set point, precise speed control is challenging. However, using various control technique can be controls the speed of DC motor. The aim of the present paper is to implement hardware and control the speed of DC motor using embedded fuzzy logic. Set point have been applied externally and recorded the speed of motor through opto-isolator sensor module. In the hardware of DC motor control keypad, 2x16 LCD, DC motor driver and opto-isolator module are interfaced to PIC microcontroller. The Fuzzy algorithm is embedded in the microcontroller wherein input fuzification signals ‘error (Δe)’ and ‘change in error (e(n))’ and output fuzification signal ‘PWM’. The both of inputs of fuzzy algorithm are varied and record output of fuzzy algorithm which is PWM. Moreover, the hardware implementation has been tested for real time control of DC Motor.

Implementing optimization of PID controller for DC motor speed control

The point of this paper presents an optimization technique which is flexible and quick tuning by using a genetic algorithm (GA) to obtain the optimum proportional-integral-derivative (PID) parameters for speed control of aseparately excited DC motor as a benchmark for performance analysis. The optimization method is used for searching for the proper value of PID parameters. The speed controller of DC motor using PID tuning method sincludes three types: MATALB PID tunner app., modified Ziegler-Nicholsmethod and genetic algorithm (GA). PID controller parameters (Kp, Ki and Kd) will be obtained by GA to produce optimal performance for the DC motor control system. Simulation results indicate that the tuning method of PID by using a genetic algorithm is shown to create the finest result in system performance such as settling time, rise time, percentage of overshoot and steady state error. The MATLAB/Simulink software is used to model and simulate the proposed DC motor controller system.

Comparing Methods of DC Motor Control for UUVs

Adaptive and learning methods are proposed and compared to control DC motors actuating control surfaces of unmanned underwater vehicles. One type of adaption method referred to as model-following is based on algebraic design, and it is analyzed in conjunction with parameter estimation methods such as recursive least squares, extended least squares, and batch least squares. Another approach referred to as deterministic artificial intelligence uses the process dynamics defined by physics to control output to track a necessarily specified autonomous trajectory (sinusoidal versions implemented here). In addition, one instantiation of deterministic artificial intelligence uses 2-norm optimal feedback learning of parameters to modify the control signal, while another instantiation is presented with proportional plus derivative adaption. Model-following and deterministic artificial intelligence are simulated, and respective performance metrics for transient response and input tracking are evaluated and compared. Deterministic artificial intelligence outperformed the model-following approach in minimal peak transient value by a percent range of approximately 2–70%, but model-following achieved at least 29% less error in input tracking than deterministic artificial intelligence. This result is surprising and not in accordance with the recently published literature, and the explanation of the difference is theorized to be efficacy with discretized implementations.

Laboratory stand with wireless interface for investigation of automatic control systems of dc electric drives

Purpose. Development of a laboratory stand with a wireless interface for the study and research of automatic control systems for DC electric drives. Methodology. Physical experiment on the developed laboratory bench, computer modelling, calculation and analytical methods. Findings. The study considered and analyzed the advantages and disadvantages of existing developments of laboratory stands with virtual and remote components, the possibility of organizing a wireless interface, taking into account cost-effectiveness, mobility, reliability and simplicity, as well as the possibility of using as a training stand. The connection of the stand by means of USB and Wi-Fi is developed. The STM32F103C8T6 microcontroller is used for the power switch and the automatic control system. The interface part consists of a NodeMCU board, a MicroSD card module, an interface control unit, a 16x2 LCD and an I2C converter. The UART-USB interface is used for information transfer and programming of the stand. The possibility of current remote transmission of information about the modes and parameters of the engine to a computer with a browser output by installing the Wi-Fi module ESP8266MOD. A closed system of automatic DC motor control with PID current regulators and EMF has been developed. Experiments were performed with a pulse and smooth increase in motor speed and variation of the components of the PID controllers using the control panel of the laboratory stand. All graphs of the results of the experiment were obtained on a web page with a fixed IP address in the browser via Wi-Fi. Originality. The structure of the remote monitoring and control system based on hardware and software combination of telecommunication and measuring systems is proposed and developed, which differs from the existing ones by the presence of current wireless transmission of information, which allows to remotely receive research data of automatic DC motor control systems. Practical value. The developed laboratory stand with the wireless interface allows to receive and store experimental data on parameters of the investigated engine in real time remotely.