Hybrid fuzzy-PID like optimal control to reduce energy consumption

The electric motor is one of the appliances that consume considerable energy. Therefore, the control method which can reduce energy consumption with better performance is needed. The purpose of this research is to minimize the energy consumption of the DC motor with maintaining the performance using Hybrid Fuzzy-PID. The input of the Fuzzy system is the error and power of the system. Where error is correlated with matric Q and power is correlated with matric R. Therefore, adjusting the fuzzy rule on error and power is like adjust matrices Q and R in LQR method. The proposed algorithm can reduce energy consumption. However, system response is slightly decrease shown from ISE (Integral Square Error). The energy reduction average is up to 5.58% while the average of ISE increment is up to 1.89%. The more speed variation in the system, the more energy can be saved by the proposed algorithm. While in terms of settling time, the proposed algorithm has the longest time due to higher computation time in the fuzzy system. This performance can be increased by tuning fuzzy rules. This algorithm offers a solution for a complex system which difficult to be modeled

Implementation of Fuzzy-PD for Folding Machine Prototype Using LEGO EV3

Folding machine prototype is a tool for folding clothes that used a LEGO Mindstorm EV3 and the movement of this LEGO will be controlled by using the proposed method.This research is using 2 kind of systems, first is (Proportional Integration Derrivative) and second is Fuzzy-PD. This system can improve the production efficiency especially in micro convection-based industry (UKM). This folding machine prototype has 3 folds connected to the EV3 Large Motors as actuators. PID and Fuzzy-PD control systems are used to control the position of the motor angle by reading the rotary encoder. Based on the test results with load condition at Kp=7,00; Ki=2.00; Kd=15.5,the PID control system has a rise time of 0.479s with settling time of 0.551s and overshoot value of 9,1%. While the result of Fuzzy-PD control shows the rise time is equal to 0.617s with settling time of 0.7s and overshoot value of 7.5%

TASKS STATEMENT FOR MODERN AUTOMATIC CONTROL THEORY OF UNDERWATER COMPLEXES WITH FLEXIBLE TETHERS

The definition of a new class of control objects is proposed. It is an underwater complex with flexible tethers (UCFT) for which there is the need to automate motion control under uncertainty and nonstationarity of own parameters and external disturbances. Classification of marine mobile objects and characteristics of the flexible tethers as UCFT elements is given. The basic UCFTs configurations that are used in the implementation of advanced underwater technologies are revealed. They include single-, double- and three-linked structures with surface or underwater support vessels and self-propelled or towed underwater vehicles. The role of mathematical modeling in tasks of motion control automation is shown. The tasks of UCFT mathematical modeling are formulated for synthesis and study of its automatic control systems. Generalized structures of mathematical models of UCFT basic elements are proposed as the basis for the creation of simulating complex to study the dynamics of its motion. The tasks of UCFT identification as a control object are formulated. Their consistent solution will help to obtain a UCFT mathematical model. The basic requirements for UCFT automatic motion control systems are determined. Their satisfaction will ensure implementation of selected underwater technology. Areas of development of synthesis methods of UCFT automatic control systems are highlighted

An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560

The arm manipulator application that has 1 degree of freedom (DOF) can be used to flip folders in folding machines. The used actuator in folding machine is a Brushed DC motor. The Fuzzy-PD control system in this application is using Arduino Mega2560 microcontroller. Application of Fuzzy-PD control system on folding machine is able to move 5 flip folders. This Fuzzy-PD control system is able to improve the system response when there is a load, where the difference is only 7.73% from the no load condition. In addition, to implement this flip folder, a stochastic based method (ARX) is also applied on this system so it can be simulated directly. The simulation results from this folding machine model have a time constant of 0.510s, rise time of 1.501s, settling time of 1.5320s and delay time of 0.353s

Using Digital Hydraulics in Secondary Control of Motor Drive

Due to the increased focus on pollution and global warming, there is a demand for energy efficient systems. This also applies to the offshore oil and gas industry. Normally used hydraulic systems tend to suffer from low energy efficiency, especially when operating with part loads. In the last decades, a new pump and motor technology has experienced increased interest due to the potential of high energy efficiency in a wide range of operation conditions. This new technology is called digital displacement machine technology. Nowadays, there is a desire from the offshore oil and gas industry to use this digital displacement machine technology to design highly efficient hydraulic winch drive systems. The main objectives of the work presented in this thesis are to design a controller for a digital displacement winch drive system and evaluate its control performance. The design of a controller is one part of the work needed to realizing a winch drive system with digital displacement machines. A winch with a lifting capacity of 20000 kg and a drum capacity of 3600 m of wire rope is used as a case study. Digital displacement machines have strict requirements for the on/off valves used to control each cylinder chamber. It is important to activate the valves at optimal times to ensure operation with high energy efficiency and low pressure and flow peaks. Only a small mistiming of the valves will affect the performance of the digital displacement machine significantly. One of the first contributions presented in this thesis is a method for defining how early or late the valves can be timed without reducing the energy efficiency significantly. The control of digital displacement machines is complicated and non-conventional. Each cylinder can be controlled individually and multiple displacement strategies can be used to achieve the same displacement. Each displacement strategy has its dynamic response characteristics and energy efficiency characteristics. The dynamic response characteristics of the drive system are highly relevant when designing control systems. Therefore, in addition to the conventional classical controller, also a suitable displacement strategy must be designed. Designing controllers for digital displacement machines are therefore more complex than designing controllers for conventional hydraulic machines. One of the main focuses of this project has been to analyze the transient and steady state response characteristics of different displacement strategies. In all, three displacement strategies are examined: full stroke displacement strategy, partial stroke displacement strategy and sequential partial stroke displacement strategy. Also, during this work, a new version of the partial stroke displacement strategy has been developed and included in the dynamic response analysis. The dynamic response analysis is a simulation study, where the simulation model is experimentally validated. The experimental work is conducted on a prototype of a single cylinder digital displacement machine. The prototype consists of a five cylinder radial piston motor where one cylinder is modified to operate with the digital displacement technology. The rest of the cylinders are not changed and not used. In addition to validating the simulation model, the prototype is used to test all of the analyzed displacement strategies in low speed operation. The results from the dynamic response analysis are used to select the displacement strategy that is most suited for use in a winch drive system. Then, controllers for the digital displacement winch drive system are developed. The main focus in the control design phase is not to design a new type of controller but to examine already developed controllers and fit them to a winch system driven by digital displacement machines. In the end, the simulation results of the designed controllers are shown and the results are discussed. The simulation results show that digital displacement machines can be used in winch drive systems and achieve both high motion control performance and wire tension control performance.publishedVersio

Remote mining for in-situ waste containment. Final report

This document presents the findings of a study conducted at West Virginia University to determine the feasibility of using a combination of longwall mining and standard landfill lining technologies to mitigate contamination of groundwater supplies by leachates from hazardous waste sites

Underwater Vehicles

For the latest twenty to thirty years, a significant number of AUVs has been created for the solving of wide spectrum of scientific and applied tasks of ocean development and research. For the short time period the AUVs have shown the efficiency at performance of complex search and inspection works and opened a number of new important applications. Initially the information about AUVs had mainly review-advertising character but now more attention is paid to practical achievements, problems and systems technologies. AUVs are losing their prototype status and have become a fully operational, reliable and effective tool and modern multi-purpose AUVs represent the new class of underwater robotic objects with inherent tasks and practical applications, particular features of technology, systems structure and functional properties

Airborne Wind Energy Conference 2019 : (AWEC 2019)

[Book of Abstracts from the Airborne Wind Energy Conference 2019.