scholarly journals Research on Suspension with Novel Dampers Based on Developed FOA-LQG Control Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Xiao Ping ◽  
Gao Hong ◽  
Lou Jie ◽  
Wang Gang ◽  
Niu Limin
Keyword(s):  
Permanent Magnet ◽  
Control Algorithm ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Fruit Fly Optimization Algorithm ◽  
Damping Force ◽  
Fruit Fly Optimization ◽  
Magnetic Valve ◽  
Lqg Control ◽  
Working Performance

To enhance working-performance robustness of suspension, a vehicle suspension with permanent-magnet magnetic-valve magnetorheological damper (PMMVMD) was studied. Firstly, mechanical structure of traditional magnetorheological damper (MD) used in vehicle suspensions was redesigned through introducing a permanent magnet and a magnetic valve. Based on theories of electromagnetics and Bingham model, prediction model of damping force was built. On this basis, two-degree-of-freedom vehicle suspension model was established. In addition, fruit fly optimization algorithm- (FOA-) line quadratic Gaussian (LQG) control algorithm suitable for PMMVMD suspensions was designed on the basis of developing normal FOA. Finally, comparison simulation experiments and bench tests were conducted by taking white noise and a sine wave as the road surface input and the results indicated that working performance of PMMVMD suspension based on FOA-LQG control algorithm was good.

Research on suspension system with embedded-permanent-magnet magnetorheological damper based on V-model

2015 ◽  
Vol 230 (10) ◽  
pp. 1602-1614 ◽  
Author(s):  
Ping Xiao ◽  
Qidong Wang ◽  
Limin Niu ◽  
Hong Gao
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnets ◽  
Electronic Control Unit ◽  
Mr Damper ◽  
Control Unit ◽  
Fruit Fly ◽  
Magnetorheological Damper ◽  
Fruit Fly Optimization Algorithm ◽  
Fruit Fly Optimization ◽  
Automotive Suspension

In order to enhance performance of automotive suspension with embedded-permanent-magnet magnetorheological (MR) damper, V-model developing flow of electronic control unit was adopted to study control system of the suspension. First of all, rapid control prototyping (RCP) system of suspension with embedded-permanent-magnet MR damper was built up based on real-time simulation platform D2P; control algorithm of fruit fly optimization algorithm– proportional-integral-derivative was designed and experiments of RCP simulation were carried out. Moreover, model of suspension with embedded-permanent-magnet MR damper was built with the instruction of magnetic field composition theory. On these bases, hardware in the loop simulation (HILS) platform was built up and HILS experiments were carried out as well. Finally, bench tests were carried out, whose results, together with simulation results, indicated that the controlling system of suspension with embedded-permanent-magnets MR damper in the given research could enhance automobiles’ ride performance and the designed control strategy and algorithm were good.

scholarly journals MR Damper-Based Vibration Suppression Method for Control Moment Gyroscope

2018 ◽  
Vol 36 (5) ◽  
pp. 884-889
Author(s):  
Wendong Wang ◽  
Xing Ming ◽  
Yang Chu ◽  
Minghui Liu ◽  
Yikai Shi
Keyword(s):  
Active Control ◽  
Control Algorithm ◽  
Vibration Suppression ◽  
Control Method ◽  
Magnetorheological Damper ◽  
Magnetic Flux Density ◽  
Damping Force ◽  
Control Moment Gyroscope ◽  
Control Moment ◽  
Suppression Method

To restrain the interference of micro-vibration caused by Control Moment Gyroscope, a new control method based on Magnetorheological damper was proposed in this paper. A mechanical model based on the structure of the presented design was built, and the semi-active control algorithm of damping force was proposed for the designed Magnetorheological damper. The magnetic flux density and other magnetic field parameters were considered and analyzed in Maxwell, and also the related hardware circuit which implements the control algorithm was prepared to test the presented design and algorithm. The results of simulation and experiments show that the presented Magnetorheological damper model and semi-active control algorithm can complete the requirements, and the vibration suppression method is efficient for Control Moment Gyroscope.

scholarly journals Design of a Novel Magnetorheological Damper Adaptable to Low and High Stroke Velocity of Vehicle Suspension System

2020 ◽  
Vol 10 (16) ◽  
pp. 5586
Author(s):  
Bo-Gyu Kim ◽  
Dal-Seong Yoon ◽  
Gi-Woo Kim ◽  
Seung-Bok Choi ◽  
Aditya Suryadi Tan ◽  
...  
Keyword(s):  
Shape Function ◽  
Mr Damper ◽  
Effective Area ◽  
Magnetorheological Damper ◽  
Damping Coefficient ◽  
Vehicle Suspension ◽  
Damping Force ◽  
Piston Velocity ◽  
Suspension Systems ◽  
Vehicle Suspension System

In this study, a new class of magnetorheological (MR) damper, which can realize desired damping force at both low and high speeds of vehicle suspension systems, is proposed and its salient characteristics are shown through computer simulations. Unlike conventional MR dampers, the proposed MR damper has a specific pole shape function and therefore the damping coefficient is changed by varying the effective area of the main orifice. In addition, by controlling the opening or closing the bypass orifice, the drastic change of the damping coefficient is realizable. After briefly describing the operating principle, a mathematical modeling is performed considering the pole shape function which is a key feature of the proposed MR damper. Then, the field-dependent damping force and piston velocity-dependent characteristics are presented followed by an example on how to achieve desired damping force characteristics by changing the damping coefficient and slope breaking point which represents the bilinear damping property.

Ground Semi Active Damping Force Estimator (gSADE) for Magnetorheological Damper Suspension System Using Quarter Heavy Vehicle Model

2015 ◽  
Vol 789-790 ◽  
pp. 913-917 ◽  
Author(s):  
Syabillah Sulaiman ◽  
Pakharuddin Mohd Samin ◽  
Hishamuddin Jamaluddin ◽  
Roslan Abd Rahman ◽  
Saiful Anuar Abu Bakar
Keyword(s):  
Control Strategy ◽  
Mr Damper ◽  
Active Damping ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Heavy Vehicle ◽  
Vehicle Model ◽  
Damping Force ◽  
Tire Force ◽  
Simulation Results

This paper proposed semi active controller scheme for magnetorheological (MR) damper of a heavy vehicle suspension known as Ground Semi Active Damping Force Estimator (gSADE), where it was modified from Semi Active Damping Force Estimator (SADE) algorithm. A reported algorithm known as Groundhook (GRD) was developed where its aim to minimize tire road forces and hence reduce road damage. Thus, the objective of this paper is to investigate the effectiveness of the proposed gSADE algorithm compared to GRD and SADE. These algorithms are applied to a quarter heavy vehicle models and the simulation model was developed and simulated using MATLAB Simulink software. Ride test was conducted at three different speeds and three bump heights, and the simulation results of gSADE, SADE and GRD are compared and analysed. The results showed that the proposed controller is able to reduced tire force significantly compared to GRD control strategy.

INVESTIGATION OF MR DAMPER INFLUENCE ON PATROL VEHICLE VIBRATIONS LIMITATION WITH NUMERICAL SIMULATION

2011 ◽  
Vol 159 (1) ◽  
pp. 294-301
Author(s):  
Maciej ZAJĄC ◽  
Wiesław GRZESIKIEWICZ ◽  
Michał MAKOWSKI
Keyword(s):  
Numerical Simulation ◽  
Control Algorithm ◽  
Mr Damper ◽  
Vehicle Suspension ◽  
Damping Force ◽  
Vertical Accelerations ◽  
Magneto Rheological

This paper describes a control algorithm for a damping system equipped with a magneto-rheological damper (MR). A method of vibration limitation by a controlled MR damper has been presented. The model of the vehicle suspension has been built using DADS software and the control algorithm in the Simulink software. As a criterion of optimising the damping force, the index characterising vertical accelerations has been used.

A new combined braking approach of magnetorheological fluids brake based on fuzzy controller and improved PID controller

2021 ◽  
pp. 095440622110171
Author(s):  
Dezheng Hua ◽  
Xinhua Liu ◽  
Munish Kumar Gupta ◽  
Pawel Fracz ◽  
Zhixiong Li
Keyword(s):  
Optimization Algorithm ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fruit Fly ◽  
Magnetorheological Fluids ◽  
Fruit Fly Optimization Algorithm ◽  
Fruit Fly Optimization ◽  
Braking System ◽  
System A ◽  
Working Performance

With the aim to improve working performance of magnetorheological fluids (MRF) brake, a combined braking approach is proposed in this paper. A data acquisition system of MRF brake is designed and transfer function is identified for the device. Furthermore, based on the excitation current-extrusion pressure combined braking system, a fuzzy controller is designed to distribute the target torque. Moreover, through integration of fruit fly optimization algorithm (FOA) and particle swarm optimization algorithm (PSOA), an improved proportional-integral-differential (PID) controller is presented to conduct braking mechanism. Finally, the simulations and experiments are carried out. The results show that the combined braking approach with fuzzy controller and improved PID controller has characteristics of quick response and no overshoot, and superior to conventional PID and FOA PID controller.

Research on Power Consumption Model of Permanent Magnet Direct Drive Belt Conveyor System Based on Fruit Fly Optimization Algorithm-Generalized Regression Neural Network-Particle Swarm Optimization

2021 ◽  
Vol 16 (6) ◽  
pp. 941-948
Author(s):  
Gui-Mei Wang ◽  
Li-Chen Zhang ◽  
Jie-Hui Liu ◽  
Li-Jie Yang
Keyword(s):  
Power Consumption ◽  
Permanent Magnet ◽  
Optimization Algorithm ◽  
Fruit Fly ◽  
Generalized Regression Neural Network ◽  
Fruit Fly Optimization Algorithm ◽  
Direct Drive ◽  
Fruit Fly Optimization ◽  
Consumption Model ◽  
Generalized Regression

The permanent magnet direct drive electric drum is used to replace the driving device of the traditional belt conveyor, which simplifies the structure. However, the permanent magnet direct drive electric drum still operates in a high speed and stable state after starting, and cannot transport materials reasonably, belt speed cannot match the coal quantity reasonably; the problem of energy waste is still severe. Thus, based on fruit fly optimization algorithm-generalized regression neural network-particle swarm optimization algorithm, the power consumption network model of the permanent magnet direct drive belt conveyor system is established. The relationship among belt velocity, coal transport quantity and power is obtained, and the optimal belt velocity is found with the power consumption network model. Thus, the minimum power is obtained. The algorithm selects the optimal smoothing factor by fruit fly optimization algorithm, inputs the optimal smoothing factor into generalized regression neural network and establishes the optimal power consumption model. Then establishes the matching relationship of coal quantity, optimal power, and optimal belt speed in the power consumption model by the adaptive weight particle swarm optimization. The model is compared with the network model with smoothing factors of 0.7 and 0.4. The comparisons show that the optimized model performs better, which can be better applied to establish the energy consumption model of the system.

Design of Magnetorheological Damper Control System for Vehicle Suspension

2013 ◽  
Vol 278-280 ◽  
pp. 1436-1441 ◽  
Author(s):  
Jin Qiu Zhang ◽  
Jie Yue ◽  
Lei Zhang ◽  
Jin Feng Jia ◽  
Zhi Zhao Peng
Keyword(s):  
Control System ◽  
Pulse Width Modulation ◽  
Control Unit ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Current Response ◽  
Damping Force ◽  
Interface Circuit ◽  
Damper Control ◽  
Digital Temperature Sensor

The damping force of Magnetorheological damper (MRD) can be controlled in a certain range by applying a steady magnetic field to reduce vehicle suspension vibration effectively. This paper presents the analysis of the damping characteristics of the twin-tube MRD, and the design of embedded control system for Twin-tube MRD used to semi-active vehicle suspension. The laws of varying damp force with current, displacement and frequency are investigated by testing for the damper, for instance the relationship curve of damping force vs. current. The control system is composed of controllable current driver and electrical control unit (ECU). ECU is developed based on MC9S12XDP512 chip. Signals that ECU acquired come from three types of sensor, i.e. digital temperature sensor, MEMS acceleration sensor and laser distance sensor embedded in MRD. The sampling frequency may exceed 400Hz. The programming is carried out in accordance with the state data acquisition and the improved On-Off control algorithm．Aiming at the high time response requirement of the MR damper, a Pulse-width modulation (PWM) current driver was designed. The hardware solutions drive circuit, interface circuit as wel1 as the software design of control system are discussed in detail. The proposed designed system has been put in actual MRD controlling application, whose test results prove its fast current response and high precision.

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