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The comparative analysis on combustion of commercial gasoline with research octane number (RON) 95, 97, and 100 was carried out on a spark ignition (SI) engine under different engine speeds, loads and spark advances. The RON classification procedure was investigated using regression analysis and artificial neural network (ANN) by executing the combustion properties derived from the in-cylinder pressure...
This study proposes the implementation of Active Vibration Control (AVC) via a well-designed Graphical User Interface (GUI) to suppress the unwanted vibration of flexible beam system. The flexible beam system is the model to be controlled which is obtained from System Identification technique. A Proportional-Integral-Derivative (PID) controller is implemented in this study with three types of tuning...
This paper presents an investigation into the development of novel Particle Swarm Optimization with Explorer and its application to system identification for a single-link flexible manipulator system. A simulation environment characterizing the dynamic behavior of the flexible manipulator system was first developed using finite difference (FD) method to acquire the input-output data of the system...
This paper present the representation of the dynamic model of the temperature an automotive air conditioning system (AAC) as the speed of the air conditioning compressor is varied. The performance of system identification of an AAC system using Recursive Least Squares (RLS) and Particle Swarm Optimization (PSO) techniques measured and discussed. The input — output data are collected through an experimental...
This paper presents the development of self tuning Active Vibration Control (AVC) strategy for flexible beam structure. An experimental procedure was conducted on a flexible beam structure with clamped-free boundary condition. The beam was forced to vibrate using an external force and a set of input-output vibration data was acquired. Using the input-output data, the flexible beam model was developed...
This paper presents an investigation of system modeling using genetic algorithm and active vibration control of flexible plate structure. The experimental rig was designed and fabricated with free-free-clamped-clamped edges boundary condition in this research. The experimental study was conducted using experimental rig complete with data acquisition and instrumentation system to collect the input-output...
This paper presents the development of anonparametric model that represents the dynamic behaviourof a flexible beam system utilizing several artificial neuralnetwork algorithms. Input-output data used in this study isobtained from Finite Difference algorithm's simulation. Thealgorithm is validated through comparison of its naturalfrequencies of vibration with the theoretical values. For systemidentification,...
This paper presents the non-parametric approach using Artificial Neural Network (ANN) in modelling and vibration control of a flexible beam structure. Elman Network structure has been selected to be used in dynamic modelling and system identification of the flexible beam. Several validation tests also have been carried out in order to measure the reliability of the nonparametric model developed. Later,...
This paper presents the simulation study ofmagneto-rheological (MR) damper and hydraulic actuator forsuspension system using intelligent PID controller withiterative learning algorithm. The MR damper is an intelligentdamper filled with particle magnetic polarizable andsuspended into a liquid form. This actuator was installed to thesemi-active suspension system as a variable damper. The BoucWen model...
This paper presents a novel Genetic Algorithms withParameter Exchanger and its application to systemidentification for a single-link flexible manipulator system. Asimulation environment characterizing the dynamic behaviorof the flexible manipulator system was first developed usingfinite difference method to acquire the input-output data of thesystem. In this study, system identification scheme is...
This paper presents a system identification for an elastically supported rigid cylinder in one degree of freedom direction undergoes vortex induced vibration (VIV). The cylinder is constrained to oscillate in perpendicular direction with respect to a free stream. The input-output data of the vibrating system are recorded by using accelerometers in capturing the cylinder movement in certain period...
In this paper, the development of dynamic model of flexible cantilever (fixed-free) beam in transverse motion using FD approach is presented. Validation using theoretical value is carried out in order to ensure the reliability of the developed FD algorithm. Next, system identification using non-parametric Neural Network (NN) methods: Multilayer Perceptron (MLP) and ELMAN networks are developed. To...
This paper presents the performance of system identification for rectangular flexible plate using conventional parametric modeling approach by Recursive Least Squares (RLS) and intelligent parametric modeling approach by Particle swarm Optimization (PSO). The experimental rig of rectangular flexible plate with free-free-clamped-clamped edges boundary condition designed and fabricated in this research...
In this study, system identification of an automotive air conditioning (AAC) system with different parameter estimation methods were conducted. The AAC experiment rig which comes complete with an air duct system to simulate the actual behaviour of AAC system was used to acquire the input and output datasets for the identification of the system. The single input single output dynamic model was established...
This paper presents the application of Extremum Seeking (ES) algorithm in auto tuning of an incremental proportional-integral-derivative (PID) controller in order to achieve optimal cabin temperature control of an automotive air conditioning (AAC) model. A mathematical nonlinear model of an AAC system with variable speed compressor is first developed. The AAC model consists of a condenser, evaporator,...
The simulation of proportional-integral derivative (PID) controller was performed within Matlab SIMULINK environment. Intelligent Iterative Learning Algorithm (ILA) was utilized to tune the parameters of PID controllers, Kp, Ki, Kd to control Active Vibration Controller (AVC) of flexible beam structure. The dynamic characteristics of flexible beam were identified using neural network algorithm. During...
This paper presents the fuzzy-PID control of flexibly mounted rigid pipe which undergoes vortex induced vibration phenomena. The cylinder is allowed to move in one direction which is perpendicular to the flow direction. The input and output data are obtained from experimental works where the input is the current flow speed and the output is the acceleration of the pipe. Auto-Regressive External Input...
The performance comparison of PID controllers for idle speed control internal combustion engine (ICE) is presented in this paper. There are three methods of PID tuning applied: heuristic tuning, self-tuning by pole placement, and also iterative learning algorithm (ILA). Prior to that, data collection is gained from four cylinder sparkignition engine modeling and used as the input-output data in the...
This paper presents an investigation of an intelligence modeling technique for dynamic characterization of a single-link flexible manipulator system. The flexible manipulator system was first modeled using finite difference (FD) method. A bang-bang torque was applied as an input and the dynamic response of the system was investigated. Performance of the algorithm is compared with the manipulator theoretical...
This paper presents an active vibration control strategy in order to prevent resonance occurrence in marine offshore vertical riser pipe. Experimental data collected by previous research are used as an input - output data for system identification. Both Least Squares (LS) and Recursive Least Squares (RLS) methods are employed to model the dynamic response of the riser pipe at a particular speed. An...
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