scholarly journals Experimental Analysis of a Novel Double Damper System with Semi-Active Control

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1518
Author(s):  
Anish Gorantiwar ◽  
Rajvardhan Nalawade ◽  
Arash Nouri ◽  
Saied Taheri
Keyword(s):  
Control Algorithm ◽  
Performance Metrics ◽  
Control Strategies ◽  
Normal Load ◽  
Data Acquisition System ◽  
Test Rig ◽  
Strong Basis ◽  
Acceleration Data ◽  
Separate Control ◽  
Active Damper

An experimental study was conducted to compare the performance of an in-house built novel double semi-active damper against a conventional semi-active single damper. Different performance metrics were analyzed, and the performance of the two dampers was evaluated based on these metrics. A Hybrid Skyhook–Groundhook control algorithm was developed and implemented on the variable orifice double damper. The semi-active single damper is governed via two separate control strategies, namely—Skyhook and Groundhook control, respectively. The effectiveness of each algorithm is better understood by adding a normal load on top of the Shock Dyno, thus modifying it to act as a quarter car test rig. The sprung and unsprung acceleration data are collected via the accelerometers mounted on the Shock Dyno through a Data Acquisition System. The results obtained from this experiment provide a strong basis that the semi-active double damper performs better in terms of the comfort cost than that of the commercial semi-active single dampers.

Reducing RMS on Wheel Load in ABS-Braking Situations by Control of Semi-Active Suspension

2006 ◽  
Author(s):  
Tobias Niemz ◽  
Hermann Winner
Keyword(s):  
Control Algorithm ◽  
Control Strategies ◽  
Simulation Models ◽  
Time Behavior ◽  
Test Rig ◽  
Passenger Cars ◽  
Wheel Load ◽  
Minimax Control ◽  
Change Effect ◽  
Braking Distance

In the presented research project the authors’ goal is to determine the potential of reduction of braking distance by automatic control of active dampers in passenger cars. Control strategies are being developed and tested in simulation models to be validated afterwards in test stand trials and test drives. In the presented paper the model assumptions regarding the vibration behavior of the vertical dynamics of the testing vehicle were checked. The assumptions regarding the influence on the wheel load of adaptive dampers could be verified and information about the time behavior and about the strength of the damper change effect could be gained. A control algorithm for the active dampers was developed and implemented in a testing vehicle. The control algorithm, which is called MiniMax control, makes it possible to reduce the RMS on dynamic wheel load in non-braking situations significantly. This could be shown in test rig trials as well as in test drives with defined obstacles. In full braking test drives the chosen controller is able to reduce the RMS on wheel load at initial velocities up to 70 km/h.

scholarly journals Performance of an Electromagnetic Bearing for the Vibration Control of a Supercritical Shaft

1987 ◽  
Vol 201 (3) ◽  
pp. 201-212 ◽  
Author(s):  
C D Bradfield ◽  
J B Roberts ◽  
R Karunendiran
Keyword(s):  
Vibration Control ◽  
Control Algorithm ◽  
Control Strategies ◽  
Single Point ◽  
Test Rig ◽  
Rotating Shaft ◽  
Linear Spring ◽  
Measured Displacement ◽  
Control Forces ◽  
Electromagnetic Bearing

The flexural vibrations of a rotating shaft, running through one or more critical speeds, can be reduced to an acceptably low level by applying suitable control forces at an intermediate span position. If electromagnets are used to produce the control forces then it is possible to implement a wide variety of control strategies. A test rig is described which includes a microprocessor-based controller, in which such strategies can be realized in terms of software-based algorithms. The electromagnet configuration and the method of stabilizing the electromagnet force–gap characteristic are discussed. The bounds on the performance of the system are defined. A simple control algorithm is outlined, where the control forces are proportional to the measured displacement and velocity at a single point on the shaft span; in this case the electromagnet behaves in a similar manner to that of a parallel combination of a linear spring and damper. Experimental and predicted performances of the system are compared, for this type of control, where various programmable rates of damping are applied.

Control Strategies for Semi-Active Lorry Suspensions

1996 ◽  
Vol 210 (2) ◽  
pp. 161-178 ◽  
Author(s):  
D Cebon ◽  
F H Besinger ◽  
D J Cole
Keyword(s):  
Linear Models ◽  
Control Strategies ◽  
Power Input ◽  
Optimum Level ◽  
Passive Damping ◽  
Control Laws ◽  
Body Acceleration ◽  
Performance Improvements ◽  
Full State Feedback ◽  
Active Damper

The optimum level of passive damping for minimizing the root mean square (r.m.s.) dynamic tyre force and r.m.s. body acceleration of a heavy vehicle is determined by testing a damper in a ‘hardware-in-the-loop’ (HiL) test rig. Two different control strategies [‘modified skyhook damping’ (MSD), and linear optimal control with full state feedback (FSF)] are investigated theoretically using linear models, and suspension force control laws are derived. These control laws, along with simple ‘on–off’ control, are then tested experimentally using a prototype semi-active damper which is controlled so as to follow the demanded force, except when power input is required. The achievable performance improvements are compared and differences between the linear theory, computer simulations and experimental performance are discussed. It is found that using FSF control, r.m.s. body acceleration and r.m.s. tyre force can be reduced simultaneously by 28 and 21 per cent of their values for optimal passive damping.

Development of Dedicated Controller for HVAC

2012 ◽  
Vol 430-432 ◽  
pp. 1472-1476
Author(s):  
Jin Ming Yang ◽  
Yi Lin
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Strategies ◽  
Control Software ◽  
Interface Circuits ◽  
Pid Algorithm ◽  
Hardware Interface ◽  
Hvac Control ◽  
Fuzzy Control Algorithm

This article describes the development of a dedicated controller for HVAC control, and introduces the hardware interface circuits about some main chip on controller. In addition, the article also explains composition and principle about control software applied to the controller, further more points out that the fuzzy control algorithm is more reasonable than the PID algorithm for most HVAC control and dedicated control strategies play an important role for HVAC control.

The Use of Damping Based Semi-Active Control Algorithms in the Mechanical Smart-Spring System

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Wander Gustavo Rocha Vieira ◽  
Fred Nitzsche ◽  
Carlos De Marqui
Keyword(s):  
Active Control ◽  
Control Algorithm ◽  
Control Strategies ◽  
Vibration Reduction ◽  
Flow Analysis ◽  
Coupled Systems ◽  
Control Technique ◽  
Control Algorithms ◽  
Control Techniques ◽  
Spring Mechanism

In recent decades, semi-active control strategies have been investigated for vibration reduction. In general, these techniques provide enhanced control performance when compared to traditional passive techniques and lower energy consumption if compared to active control techniques. In semi-active concepts, vibration attenuation is achieved by modulating inertial, stiffness, or damping properties of a dynamic system. The smart spring is a mechanical device originally employed for the effective modulation of its stiffness through the use of semi-active control strategies. This device has been successfully tested to damp aeroelastic oscillations of fixed and rotary wings. In this paper, the modeling of the smart spring mechanism is presented and two semi-active control algorithms are employed to promote vibration reduction through enhanced damping effects. The first control technique is the smart-spring resetting (SSR), which resembles resetting control techniques developed for vibration reduction of civil structures as well as the piezoelectric synchronized switch damping on short (SSDS) technique. The second control algorithm is referred to as the smart-spring inversion (SSI), which presents some similarities with the synchronized switch damping (SSD) on inductor technique previously presented in the literature of electromechanically coupled systems. The effects of the SSR and SSI control algorithms on the free and forced responses of the smart-spring are investigated in time and frequency domains. An energy flow analysis is also presented in order to explain the enhanced damping behavior when the SSI control algorithm is employed.

A semi-custom ASIC implementation of an intelligent control algorithm for a reconfigurable data acquisition system

2005 ◽  
Author(s):  
Hai Phuong Le ◽  
Ronny Veljanovski ◽  
Aladin Zayegh ◽  
Jugdutt Singh ◽  
Aleksandar Stojcevski
Keyword(s):  
Data Acquisition ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Data Acquisition System ◽  
Acquisition System

The Elastohydrodynamic Traction of a Grease LGLT2

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Yanshuang Wang ◽  
Pu Li ◽  
JiaWei Cao ◽  
Yan Li
Keyword(s):  
Experimental Data ◽  
Regression Analysis ◽  
Experimental Observation ◽  
Normal Load ◽  
Rolling Speed ◽  
Test Rig ◽  
Lubricating Grease ◽  
Traction Coefficient ◽  
Coefficient Versus

The elastohydrodynamic (EHD) traction coefficients of a lubricating grease LGLT2 were tested at various loads and rolling speeds on a self-made test rig. Traction coefficient versus slide-to-roll ratio curves were generated. Formulae which relate traction coefficient with normal load and rolling speed are put forth. The coefficients of the formulae may be computed by regression analysis of the experimental data. The results show that the calculated traction coefficients agree well with the experimental observation. The critical normal load exists when the traction coefficients change with the normal loads.

Using Taguchi Experimental Design to Investigate Operating Variables That Significantly Affect Wear in Mud Pumps

1995 ◽  
Vol 209 (1) ◽  
pp. 29-40
Author(s):  
S H Mok ◽  
D G Gorman
Keyword(s):  
Experimental Design ◽  
Normal Load ◽  
Drilling Fluid ◽  
Operating Conditions ◽  
Taguchi Experimental Design ◽  
Drilling Mud ◽  
Test Rig ◽  
Offshore Drilling ◽  
Wear Rates ◽  
Operating Variables

Maintenance of offshore drilling mud pumps is normally based on running hours. It is generally accepted, however, that time does not provide an accurate means of scheduling maintenance, given the varying operating conditions of the reciprocating mud pumps. The energy expended at the interaction of sliding surfaces is hypothesized to be a better alternative. The effects of operating variables on wear rates are investigated. A Taguchi experimental design was used to identify those factors that significantly affect wear. Within the confines of an experimental test rig, the normal load and abrasive sand content was found to have a significant effect on the specific wear rate of nitrile rubber sliding on steel in drilling fluid.

Comparison of Peanut Dryer Control Strategies1

1996 ◽  
Vol 23 (2) ◽  
pp. 86-90 ◽  
Author(s):  
C. L. Butts
Keyword(s):  
Control Algorithm ◽  
Energy Savings ◽  
Control Strategies ◽  
Size Distributions ◽  
Curing Time ◽  
Kernel Size ◽  
Milling Quality ◽  
Set Point ◽  
Net Revenue ◽  
Hourly Basis

Abstract Peanuts were mechanically cured from field moisture contents ranging from 11.5 to 32.8% wet basis to levels acceptable for marketing (< 10.5%) using two dryer control strategies. The first control algorithm consisted of a constant thermostat setting of 39 C, while the second required manual thermostat control on an hourly basis such that the minimum plenum relative humidity was between 40 and 60% and the maximum plenum temperature was less than 39 C. The average drying rate using the variable thermostat set point (0.3%/hr) was half that obtained with the constant set point (0.6%/hr). Average curing time for the variable thermostat setting was 56% longer than for the peanuts cured using the constant thermostat. Fuel consumption was reduced by approximately 30% using the variable set point. Kernel size distributions and milling quality indicated by bald kernels were significantly better (P ≤ 0.1) for peanuts cured using the variable thermostat control. Increasing available dryer capacity by 40% would allow the buying point manager to handle the same amount of peanuts during the same harvest interval. Economic analysis showed that the annual capital cost for additional drying equipment could not be offset by energy savings alone. Based on increased shelled product value and energy savings, shellers could realize an increase in net revenue of approximately $14/1000 kg of farmers stock peanuts by using a variable thermostat set point.

scholarly journals Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3143 ◽  
Author(s):  
Ignacio Acosta ◽  
Miguel Ángel Campano ◽  
Samuel Domínguez-Amarillo ◽  
Carmen Muñoz
Keyword(s):  
Energy Efficiency ◽  
Net Present Value ◽  
Energy Savings ◽  
Performance Metrics ◽  
Control Strategies ◽  
Window Size ◽  
Weather Conditions ◽  
Worst Case ◽  
Daylight Performance ◽  
Dynamic Metrics

Daylight performance metrics provide a promising approach for the design and optimization of lighting strategies in buildings and their management. Smart controls for electric lighting can reduce power consumption and promote visual comfort using different control strategies, based on affordable technologies and low building impact. The aim of this research is to assess the energy efficiency of these smart controls by means of dynamic daylight performance metrics, to determine suitable solutions based on the geometry of the architecture and the weather conditions. The analysis considers different room dimensions, with variable window size and two mean surface reflectance values. DaySim 3.1 lighting software provides the simulations for the study, determining the necessary quantification of dynamic metrics to evaluate the usefulness of the proposed smart controls and their impact on energy efficiency. The validation of dynamic metrics is carried out by monitoring a mesh of illuminance-meters in test cells throughout one year. The results showed that, for most rooms more than 3.00 m deep, smart controls achieve worthwhile energy savings and a low payback period, regardless of weather conditions and for worst-case situations. It is also concluded that dimming systems provide a higher net present value and allow the use of smaller window size than other control solutions.

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