Improvement the Vehicle Suspension System Performance Using Fuzzy Controller

An ideal car suspension system should be stiff enough for better handling while soft enough for better ride comfort factor to the passenger. Passive suspension system often have fixed shock absorber which compromise in between ride comfort and handling factors. In this paper, an active suspension system of a quarter car based on fuzzy control is developed to meet both need of ride comfort and good road handling. The suspension is assumed consist of spring and variable shock absorber. Fuzzy controller has function to control the variable shock absorber. The control structures are based on the combination of the body displacement, wheel displacement and suspension. The proposed controller system has been simulated, and is then compared with the response of passive suspension. Simulation results show that fuzzy controller based suspension system provide better ride comfort and road handling, because it decreases the vehicle body acceleration, small overshoot and settling time

Control Modes Comparison Results Focused on Real Heat Exchanger System Response

This paper focus on the heat exchanger system temperature control design based on mathematical model. The mathematical model is constructed using dynamics and real parameters of the heat exchanger. The heat exchanger model is QAD MODEL BDT921. Two types of control are applied; they are Proportion Integral Derivative (PID) controller and Fuzzy Proportional (FD) controller. PID is a generic control loop feedback mechanism attempts to correct the error between a measured process variable and a desired set point by calculating and then outputting a corrective action. While FD is a controller that it base on the logical of the human expert. The two controllers are simulated using Matlab Simulink software. The results show that FD controller response better than PID controller. It means FD controller is a suitable control to improve the performance of the heat exchanger QAD MODEL BDT921 model

Wind Ventilator Utilization for Electrical Mini Power Plant: Residential Lighting

The development of renewable energy potential in Indonesia is actively carried out to obtain alternative energy sources along with the depletion of available fossil energy reserves. One of the green energy without polluting the environment is wind energy. Indonesia is an archipelago located in the tropics with a large potential source of wind energy, but until now it has not been optimal enough to be used for electricity generation. Utilization of energy produced by the wind is by changing it into mechanical energy by using wind turbines. Furthermore, mechanical energy from the turbine will be used to drive a dc generator to produce electrical energy. As a simple application in this study, the wind ventilator in the form of a turbine that is mounted on the top of the house roof is applied to be a wind turbine. Ventilators will move if there is wind touches its blades and it will suck out the air in the house. The axis of the ventilator will be coupled to the dc generator using pulley and v-belt. So, when the ventilator rotates, the generator will also rotate and will produce electrical energy. The objective of this study is to meet the energy needs for lighting requirement of a house.  The experimental test results show that the use of ventilators as an alternative ways for the wind energy utilization is worked well

The Mobile Robot Development for Air Pollution Tele Data Capture

In the Modern era, the environmental issues have given significant impact to the human live. The air pollution indoor and outdoor environment sometimes dangerous to the human health and it needs to be justified. To fulfill this purpose, in this research tele-measurement process and technique based on the mobile robot with equipped by several air quality parameters sensors is developed. The robot is controlled using remote control and wireless communication system. The air quality in target area will be monitored by using sensors which will capture data and send it to the Central Control (laptop) for analyzing. And then to be able to monitor the certain area investigation, the mobile robot is guided by using wireless camera. From the experimental test, the robot able move to target area, capture the area condition and the air parameters monitor

An optimal proportional integral derivative tuning for a magnetic levitation system using metamodeling approach

A magnetic levitation system (MLS) is a complex nonlinear system that requires an electromagnetic force to levitate an object in the air. The electromagnetic field is extremely sensitive to noise which can cause the acceleration on the spherical object, leading it to move into the unbalanced region. This paper presents a comparative assessment of controllers for the magnetic levitation system using proportional integral derivative (PID) controller based optimal tuning. The analysis was started by deriving the mathematical model followed by the implementation of radial basis function neural network (RBFNN) based metamodel. The optimal tuning of the PID controller has offered better transient responses with the improvement of overshoot and the rise time as compared to the standard optimization methods. It is more robust and tolerant as compared to gradient descent method. The simulation output using the radial basis based metamodel approach showed an overshoot of 9.34% and rise time of 9.84 ms, which are better than the gradient descent (GD) and conventional PID methods. For the verification purpose, a Simscape model has been developed which mimic the real model. It was found that the model has produced about similar performance as what has been obtained from the Matlab simulation

Neural Network Based System Identification of an Axis of Car Suspension System

Neural networks system identification have been widely used for estimate the nonlinear model of system. In this paper, multilayer perceptron neural network is used for identifying the Nonlinear AutoRegressive with eXogenous input (NARX) model of a quarter car passive suspension system. Input output data are acquired by driving a car on a special road event. The networks structure is developed based on system model. The Networks learning algorithm is derived using Fisher's scoring method. Then the Fisher information is given as a weighted covariance matrix of inputs and outputs the network hidden layer. Unitwise Fisher's scoring method reduces to the algorithm in which each unit estimate its own weights by a weighted least square method. The results show that the method uses suitable for modeling a quarter car passive suspension systems

Nypa Frutican Rachis as building envelope heat insulator

This research is conducted to investigate the possibility of cellulose in Nypa Frutican Rachis to achieve thermal comfort. As Malaysia was known as tropical country which has hot and humid climate, this research focus on to study the transfer of heat through Nypa Frutican Rachis as a roof. Since only Nypa leaves have been used as a roof and have been applied until now in East Malaysia, this project uses an innovation of Nypa palm by using its rachis that contain chemical material that have lower thermal conductivity value such as cellulose and lignin as a roof or building envelope heat insulator. This paper described the experimental study method by measuring the temperature of outer and inner surface of Nypa Frutican Rachis on small physical model study. The temperature was measured by using Digital Infrared Thermometer. The average outer and inner tempe rature for five consecutive days was obtained from the experiment is highlighted. Results show that the average of heat loss and heat transfer conduction for five consecutive days are 9.63 W/h and 9.86 W. This experiment shows a good result and proved that Nypa Frutican Rachis is suitable and effective to be a building envelope heat insulator

Portable power supply design with 100 Watt capacity

Renewable energy from solar cells is a type of alternative energy for consumers, especially those far from electricity, and saves electrical energy. This research developed an innovative tool for portable solar power generators as a source of energy, which stores electrical energy in two ways, namely solar cells and transformers. Furthermore, this research is expected to improve innovation tools for more efficient electricity supply and energy use, especially for rural communities. It also uses a variety of battery capacities to test portable power supplies. The results showed that the power supply using 100 Wp solar cells produced a capacity of 20 Ah, 60 Ah, and 100 Ah on the battery. Charging with a solar energy source on a 20 Ah battery takes a duration of 5 hours to be fully charged, while 60 Ah and 100 Ah batteries cannot be fully charged in one day. Charging a battery that has been run at a full level takes a duration of 15 hours at a temperature of 30oC to 34oC. Finally, this tool is expected to add variety to locally manufactured products.Energi baru terbarukan bersumber solar sel adalah salah satu alternatif energi listrik untuk konsumen, terutama yang jauh dari jangkauan listrik PLN, dan dapat juga untuk menghemat energi listrik. Kajian ini telah dikembangkan suatu alat inovasi untuk generator tenaga surya secara portabel dapat digunakan sumber energi solar sel. Metode kajian ini adalah rekayasa alat yang multiguna secara portabel dengan sistem penyimpanan energi listrik dapat digunakan bersumber solar sel dan rangkaian trafo. Penelitian ini diharapkan dapat meningkatkan inovasi baru untuk pencatu daya yang potensial dan penggunaan energi menjadi lebih efisien serta memberikan layanan energi listrik secara berkelanjutan terutama masyarakat pedesaan. Uji coba alat pencatu daya portabel dengan menggunakan kapasitas baterai yang bervariasi.  Hasil pengujian dan pengamatan alat pencatu daya menggunakan solar sel 100 Wp dapat diamati pada keadaan baterai kapasitas 20 Ah, 60 Ah, dan 100 Ah. Untuk pengisian dengan sumber energi matahari baterai 20 Ah proses pengisian baterai penuh dalam durasi pengisian 5 jam, manakala untuk baterai 60 Ah dan 100 Ah tidak dapat penuh pengisian baterai dalam satu hari.  Pengisian baterai yang telah dijalankan sampai level penuh, dibutuhkan durasi sampai 15 jam pada suhu 30oC sampai 34oC. Akhirnya, diharapkan alat ini dapat menambah variasi produk manufaktur lokal khususnya

A Nonlinear Model for Online Identifying a High-Speed Bidirectional DC Motor

The modeling system is a process to define the real physical system mathematically, and the input/output data are responsible for configuring the relation between them as a mathematical model. Most ofthe actual systems have nonlinear performance, and this nonlinear behavior is the inherent feature for thosesystems; Mechatronic systems are not an exception. Transforming the electrical energy to mechanical one orvice versa has not been done entirely. There are usually losses as heat, or due to reverse mechanical, electrical,or magnetic energy, takes irregular shapes, and they are concerned as the significant resource of that nonlinearbehavior. The article introduces a nonlinear online Identification of a high-speed bidirectional DC motor withdead zone and Coulomb friction effect, which represent a primary nonlinear source, as well as viscosity forces.The Wiener block-oriented nonlinear system with neural networks are implemented to identify the nonlin-ear dynamic, mechatronic system. Online identification is adopted using the recursive weighted least squares(RWLS) method, which depends on the current and (to some extent) previous data. The identification fitnessis found for various configurations with different polynomial orders, and the best model fitness is obtainedabout 98% according to normalized root mean square criterion for a third order polynomial

Modelling and controller design for temperature control of power plant heat exchanger

Power Plant Heat exchanger is widely used in chemical and petroleum plants because it can sustain wide range of temperature and pressure. Heat exchanger is a high nonlinearity and poor dynamics plant; therefore it is complex to model and difficult to control its dynamics. In this paper two types of heat exchanger model and controller are applied for selecting suitable model and controller. First model is called (Physical model) and derived using real parameter of heat exchanger plant. Second, a Second Order Plus Dead Time (SOPDT model) that is derived from the response of heat exchanger. While the controllers are consisted of fuzzy proportional derivative (FPD) controller and proportional integral derivative (PID) controller and applied to the model and their responses are compared with the existing PID controller. The PID controller response based on Physical model gives similar response of existing PID controller based real heat exchanger plant in comparison with SOPDT model. That means the Physical model is able to represent the heat exchanger plant dynamics more accurately than SOPDT model. For the controller, the FPD control gives a slight enhancement based on SOPDT model. Therefore, FPD controller is more suitable than PID controll