Optimal Design of the Waste-Heat Recyclable Gasifier

Nowadays, how to improve the energy efficiency has become one of the important issues to environmental protection. Hydrogen with high combustion efficiency and zero emission is expected to be the solution for above issue. In general, gasifiers are often used to be the transformers to generate hydrogen form the cheap fuel such as coal and biomass etc. But also a considerable amount of energy consumption. However, the exhaust gas COx is also discharging during hydrogen generation. In this paper, a hybrid system which can simultaneously minimize the energy consumption of gasifier and relieve the thermal pollution of fuel cells (e.g. SOFC) is proposed. In order to optimize the heat recycling efficiency for the proposed system, first, the external-heating gasifier is design. Next, the Taguchi’s method is used to find out the important factors which mostly affect the heat exchanging efficiency. Finally, the multiple ANFIS (adaptive neuro-fuzzy inference system) is adopted to serve the multi-object problem to obtain the Inverse model for the design. The simulation results shows that to compare with the existed gasifier there about 62% of heating rate improvement can be achieved by the optimized system. Consequently, it corroborated that this system is not only can improve the energy efficiency, but also can relieve the energy consumption as well as the thermal pollution problem.

Keywords: Optimal Design, Gasifier, Waste Energy Recycling


A Novel Design of the MANFIS-PSO PID Controller to Improve the Operational Stability and Sensitivity for Quadrotors

Nowadays, the exploration technologies mainly rely on the satellite positioning or the video capturing of unmanned aerial vehicle (UAV). Here, for the UAV is with the natures of high mobility and secrecy in operation, low cost, and without the limits on terrain obstacles, UAV are numerously employed in military application to decrease casualties. However, weather condition is the major uncertainty that affects the video capturing of UAV. In order to obtain high-definition video data, how to level up the balancing technology for UAV becomes one of the most important topics in the UAV development. For above target, a novel PID tuning technology based on the integration of MIMO-ANFIS and PSO is designed in this paper. By MANFIS-PSO learning adaptive control, hoping to improve quadrotor stability and reduce response time. The control effectiveness is confirmed through the Matlab/Simulink simulation study on a quadrotor model.

keyword: particle swarm organization (PSO), Multi-input Multi-output (MIMO), adaptive neuro-fuzzy inference system (ANFIS), quadrotor, Unmanned Aerial Vehicle (UVA)

Performance Improvement on Fuel Cells used in Vehicles via Magnetic Flywheel Control

In recent years, facing serious problems as shortages of petrifaction energy and environmental pollution etc., electric vehicles (EVs) are popular with people. However, the challenges to EVs as the cruising endurability and required charging hours still remain. For hydrogen, a clean energy exiting everywhere in the earth, can serve all abovementioned problems, people gradually attach great importance to fuel-cell vehicles (FCVs).

For the limit of electrochemistrical natures, there are some inherent drawbacks of using fuel cells such as slow start-up response, load-following polarization loss, and without recyclability of braking energy. Thus, when FCVs run in the situations as rapid ascents, emergency brakes or accelerations etc., the sudden and frequent current increasing along with voltage drops always escalate the over-heating and wear-and-tear occurrence, and deteriorate the lives pan of fuel cells.

Magnetic flywheels (MFWs) apply the repulsive magnetism, realizing the magnetic suspension of rotors for the possibility of long-term energy storage. That is, MFWs are not like capacitors or batteries affected by depth of discharge, can be charged with high density of energy. With current technology, MFWs can be operated up at 30000 to 50000rmp, and have been used in Formula one racing cars. Except to above advantages, MFWs are also characterized with the virtues as small volume, high density of energy, and reliability etc., the method of controlling MFWs to stabilize the output of fuel cells used in vehicles is proposed. The control mechanism is based on the adaptive neuro-fuzzy inference system (ANFIS) to tune the PID parameters for the optimal operation of a MFW. The control objective is expected to stabilize the output of fuel cells, levelling up the system efficiency of mechanic and electric transformations, matching physical travelling required. The effectiveness of this proposal is confirmed by dynamic simulation studies via designed Matlab/Simulink platform.

Keywords: fuel cell, magnetic flywheel, adaptive control, polarization loss


Performance Improvement on Fuel Cells used in Vehicles via Magnetic Flywheel Control

Because fossil energy stored in the world are fewer and that oil and natural gas price increases, renewable energy becomes an important solution in the world.Wind penetration levels have increased dramatically in recent years.For windpower is a randomly changing energycannot be used directly, different kinds of power configurationswith real-time, highpower factor inverters and energy storage systems are proposed to improved its instability problems.

For flywheel is characterized with rigid body and fast response to output kinetic power, a novel power stabilizer based on ainertia-tunable flywheel(ITF) for windpower is proposed to deal with above problems existing in windpower applications.

The major purpose of this study is to analyze the method of controlling inertia-tunable flywheel to stabilize the output of wind power generator. In this research, the servo motor drives ball screw to change the inertia of flywheel.The control mechanism is based on the multipleadaptive neuro-fuzzy inference system (MANFIS) combine particle swarm optimization(PSO) to optimal the PID parameters for the operation ofITF.First, to construct a system model ofwind turbine and permanent magnet synchronous generatorand inertia-tunable flywheel system by simulation “software Matlab/Simulink”,and derive its dynamic equations of system in order to analyze the stability of the system.It can be concluded from the simulation results thattheproposed inertia-tunable flywheel system can effectively improve the dynamic characteristics of wind turbine under variable wind speeds.

Keywords: inertia-tunable flywheel, windpower generator, permanent magnet synchronous generator,MANFIS, PSO

Optimal Tide-Energy Exploration for Taiwan based on MANFIS-PSO Control

In recent years, because of the oil crisis and the emergence of environmental awareness is gradually rising, renewable energy will be attracted attention around the world, and part of the Earth’s surface is covered by water up to 71%, so a high degree of tidal power potential, and the island nation for development of tidal power, because Taiwan has a unique island environments, this paper takes the case of Taiwan and reference tide forecasts central weather Bureau data provided by the Kalman filter to estimate the tidal action of the next step, then MANFIS- PSO controller to stabilize the output of tide power.

Keywords: tide energy, Taiwan, MANFIS-PSO


Development of A Self-balancing Cooling System based on Heat-Harvesting Mechanism

Most of days, the summer temperature in Taiwan is higher than 30 degree Celsius. Where, heat dissipation for devices becomes more difficult and needs more electric power. In addition, devices discharging waste heat via traditional ways that accelerates global warming. In order to serve above problems, a self-balanced cooling system is developed. Based on Stirling engine, waste heat is recycled and transformed into a kinetic power. Using the Taguchi method Which is factor levels table, orthogonal array, the Smaller-The-Better (STB), and by COMSOL analysis software for multiple physical analysis. Through the above steps, the heat exchanger is designed to optimize. In this paper, this power is used to relieve heat via a water cycle by devices themselves which are heat exchangers and Stirling engine. Besides, for higher heat input yields larger power to drive a pump and vice versa to Stirling engine, a self-cooling cycle naturally forms under above autonomous control. The feasibility assessment will be confirmed via simulation studies.

Keywords: self-balancing、Optimize、Taguchi method、 heat exchangers、Stirling engine

Prototype result

Optimized result


The Development of a Dual-effect Fuzzy Controller for the Water-mist System based on FPGA

In this paper, improved controls for the refrigeration and air conditioning equipment, traditional air-cooled, water-cooled, and evaporative condenser form mainly are for the use of evaporative cooling system, evaporative using high pressure nozzle as a cooling, however, because of the high-pressure jets of water particles and could easily lead to environmental pollution, noise, so in order to improve these problems, but also take into account the energy-saving aspects of the problem, so this study will be to replace the high-pressure nozzle ultrasonic mist, and ultrasonic mist oscillator as a controlled body, and put forward the concept of dual-effect fuzzy control system, use Field Programmable Gate Array (FPGA) chip to achieve dual-effect fuzzy control system design and production. Because the FPGA  has a simple calculation and the use of inclusive high characteristic, so in our study  use the FPGA of dual-effect fuzzy controller platform, and use one chiller to verify the feasibility and effectiveness of dual-effect fuzzy control system. But the water-misting is not easy to measure, so the study will use the digital image to measure the area of ​​the mist , and establish the relationship of water-misting、 input power and temperature .

Keywords: fuzzy control , water mist cooling 、condenser、FPGA、digital image

System Design


Transfer Function Identification for Nonlinear systems

As known, modeling methods generally can be roughly divided into two categories. The first one is a linear modeling method and the other is modular modeling method. Where, the advantages and disadvantages exist in both of them. The purpose of this study is to propose a new modeling methodology, which is with the advantages of above two methods, and without the disadvantages. In this study, the method is based on optimization methods to tuning the parameters of the transfer function to achieve the purpose of system identification. The admirable advantage of this method is that it is much helpful to proceed with the engineering analyses by using the conventional control theories such as Root Locus, Nyquist path, Bode Plot, or Nichols Chart etc. to examine the stability degree for systems.

For the electromagnetic flywheel (EMFW) is with many uncertainties and nonlinear characteristics such as mechanical friction, wind resistance, electromechanical coupling and electromagnetic saturation, it is difficult to accurately find out its transfer function by traditional mathematical ways. In order to confirm the effectiveness and feasibility of the proposed method, an EMFW system is set up and used in this study.

Keyword: transfer functions, nonlinear systems, electromagnetic flywheel