Gigih Priyandoko

Bouc-Wen Model Parameter Identification for a MR Fluid Damper Using Particle Swarm Optimization

This paper present parameter identification fitting which are employed into a current model. Irregularity hysteresis of Bouc-Wen model is colloquial with magneto-rheological (MR) fluid damper. The model parameters are identified with a Particle Swarm Optimization (PSO) which involves complex dynamic representation. The PSO algorithm specifically determines the best fit value and decrease marginal error which compare to the experimental data from various operating conditions in a given boundary.

Eddy current braking experiment using brake disc from aluminium series of A16061 and A17075

The electromagnetic braking using eddy current was studied, focused on two series of aluminium as the brake disc which are A16061 and A17075. This paper presents the comparison for both series in a few varied parameters related to eddy current braking such as air-gap, number of turns and brake disc thickness. Optical tachometer has been used along with PULSE analyzer to capture the speed (rpm) and time (s). The findings shows that the smaller the air-gap, the larger of electromagnet turns and the thicker disc thickness is, will generate higher braking torque to stop the rotational motion of disc brake and give great performance for eddy current braking. Thos parameters that been evaluated also addressed a potential on expanding this knowledge to develop an electromagnetic braking system to replace the conventional braking system.

PSO-optimised adaptive neuro-fuzzy system for magneto-rheological damper modelling

This paper presents a novel method for the Non-Parametric Modelling of Magneto-Rheological (MR) Dampers using Adaptive Neuro-Fuzzy (NF) that incorporates a Particle Swarm Optimisation (PSO) method. In this approach, the adaptive NF method is using an adaptive Back-Propagation (BP) learning algorithm, which is used to update the weights in real-time. Initial values of the weights and biases are optimised using PSO in an off-line manner. The experimental data was presented in the time histories of the displacement, the velocity and the force parameters, measured for both constant and variable current settings and at a selected frequency applied to the damper. The model parameters were determined using a set of experimental measurements corresponding to different current constant values. It has been shown that the MR damper models response via the proposed NF approach is in a good agreement with the MR damper test rig counterpart.

Parameter Analysis of Electromagnetic Braking Using Fully Nested and Two Way ANOVA

This paper presents the statistical analysis that was used to define optimized parameter for the electromagnetic braking using eddy current study. It illustrates parametric study on four different parameters affecting the braking performance using eddy current which are air-gap, number of electromagnet turns, current induced and disc thickness. These four parameters are defined as the factors which contribute to the reduction of RPM speed as the effect. Fully nested ANOVA was used as the first analysis to determine two most significant factors to eddy current braking system. Then, two-way ANOVA was applied to clarify the most significant factors to be used as the controllable parameters in the verification study. Results from both ANOVA test shows that current induced and air-gap are the two most significant factors that affected braking using eddy current.

Air-Gap Effect on Single Axis Vibration of Electromagnetic Braking Using Eddy Current on Bearing Cage

An electromagnetic braking system using eddy current experiment was conducted to study the behaviour of the system in terms of vibration. Brake disc used which is Al6061 has a displacement in z-axis direction which occurred because of the repulsive force generated on both sides of the disc as drag force from electromagnetic braking. This study aims to analyze the vibration behaviour when braking occurred in different initial speeds of DC motor and different air-gap cases. Smaller air-gap will produce high braking torque due to the increasing of magnetic field density. The higher the force generated, the vibration of the disc may illustrates different behaviour of the vibration in the structure. Test rig was developed using sensor of accelerometer and data acquisition of NI-DAQ with the use of Dasylab for the measurement and instrumentation purposes. Findings shows that the electromagnetic braking force generated in smaller air-gap between electromagnetic poles and rotating conductive disc during the braking using eddy current has damped the vibration occur in the structure of bearing cage.

Modeling of Magnetorheological Damper Using Back Propagation Neural Network

This paper presents a new approach to model magneto-rheological (MR) dampers for semi-active suspension systems. The neural network method using adaptive back-propagation learning algorithm real is proposed. The experimental data collected from suspension test machine consist in time histories of current, displacement, velocity and force measured both for constant and variable current. The model parameters are determined using a set of experimental measurements corresponding to different current constant values. It has been shown that the damper response can be satisfactorily predicted with this model.

Hardware-in-the-Loop Simulation for Active Force Control with Iterative Learning Applied to an Active Vehicle Suspension System

The paper focuses on the practical implementation of a novel control method to an automotive suspension system using active force control (AFC) with iterative learning algorithm (ILA) and proportional-integral-derivative (PID) control strategy. The overall control system to be known as AFC-IL scheme essentially comprises three feedback control loops to cater for a number of specific tasks, namely, the innermost loop for the force tracking of the pneumatic actuator using PI controller, intermediate loops applying AFC with ILA strategy for the compensation of the disturbances and the outermost loop using PID controller for the computation of the desired force. A number of experiments were carried out on a physical test rig with hardware-in-the-loop simulation (HILS) feature that fully incorporates the theoretical elements. The performance of the proposed control method was evaluated and benchmarked to examine the effectiveness of the system in suppressing the vibration effect of the suspension system. It was found that the experimental results demonstrate the superiority of the active suspension system with proposed AFC-IL scheme compared to the PID and passive counterparts.