Vibration Control of Erecting System Based on Fuzzy Adaptive PID Controller

2014 ◽  
Vol 945-949 ◽  
pp. 785-789
Author(s):  
Zheng Xie ◽  
Jian Xie ◽  
Wen Zheng Du ◽  
Ding Jun Huang
Keyword(s):  
Simulation Model ◽  
Vibration Control ◽  
Pid Controller ◽  
The Other ◽  
Control Performance ◽  
Multi Stage ◽  
Fuzzy Adaptive

To reduce the influences of vibration of large erecting system in the process of erecting, this paper firstly built a simulation model, then an erect angle velocity was planned so that it can minimize the velocity at the stage of beginning, multi-stage cylinder stage changing and arriving, thus the velocity at the other stages can be increased . Meanwhile the fuzzy adaptive PID controller was applied to track the erect angle curve. Finally, the simulation validates that the vibration and shock are effectively reduced by this method. Fast and stable erection of the load is realized. Compared with the original PID controller, the fuzzy adaptive PID controller can be proved to have a better control performance.

The Design of Bending Force Shape Control System Based on Fuzzy Adaptive Control

2014 ◽  
Vol 945-949 ◽  
pp. 2794-2798
Author(s):  
Jun Shuang Ma
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Shape Control ◽  
Fuzzy Controller ◽  
Control Performance ◽  
Steel Shape ◽  
On Line ◽  
And Control ◽  
Fuzzy Adaptive

This paper presents a fuzzy adaptive shape control system, which overcomes the shortcoming of simple PID controller and simple fuzzy controller. The PID parameters can be adjusted on-line in this system. The simulation result shows that the control system can improve the control performance and control quality of steel shape control.

Improvement of Gain Accuracy and CMRR of Low Power Instrumentation Amplifier Using High Gain Operational Amplifiers

2020 ◽  
Vol 12 (3) ◽  
pp. 168-174
Author(s):  
Rashmi Sahu ◽  
Maitraiyee Konar ◽  
Sudip Kundu
Keyword(s):  
Low Power ◽  
Building Blocks ◽  
High Gain ◽  
The Other ◽  
Operational Amplifiers ◽  
Instrumentation Amplifier ◽  
Biomedical Signals ◽  
Op Amp ◽  
Op Amps ◽  
Multi Stage

Background: Sensing of biomedical signals is crucial for monitoring of various health conditions. These signals have a very low amplitude (in μV) and a small frequency range (<500 Hz). In the presence of various common-mode interferences, biomedical signals are difficult to detect. Instrumentation amplifiers (INAs) are usually preferred to detect these signals due to their high commonmode rejection ratio (CMRR). Gain accuracy and CMRR are two important parameters associated with any INA. This article, therefore, focuses on the improvement of the gain accuracy and CMRR of a low power INA topology. Objective: The objective of this article is to achieve high gain accuracy and CMRR of low power INA by having high gain operational amplifiers (Op-Amps), which are the building blocks of the INAs. Methods: For the implementation of the Op-Amps and the INAs, the Cadence Virtuoso tool was used. All the designs and implementation were realized in 0.18 μm CMOS technology. Results: Three different Op-Amp topologies namely single-stage differential Op-Amp, folded cascode Op-Amp, and multi-stage Op-Amp were implemented. Using these Op-Amp topologies separately, three Op-Amp-based INAs were realized and compared. The INA designed using the high gain multistage Op-Amp topology of low-frequency gain of 123.89 dB achieves a CMRR of 164.1 dB, with the INA’s gain accuracy as good as 99%, which is the best when compared to the other two INAs realized using the other two Op-Amp topologies implemented. Conclusion: Using very high gain Op-Amps as the building blocks of the INA improves the gain accuracy of the INA and enhances the CMRR of the INA. The three Op-Amp-based INA designed with the multi-stage Op-Amps shows state-of-the-art characteristics as its gain accuracy is 99% and CMRR is as high as 164.1 dB. The power consumed by this INA is 29.25 μW by operating on a power supply of ±0.9V. This makes this INA highly suitable for low power measurement applications.

scholarly journals Quadratic Model-Based Dynamically Updated PID Control of CSTR System with Varying Parameters

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 31
Author(s):  
Dushko Stavrov ◽  
Gorjan Nadzinski ◽  
Stojche Deskovski ◽  
Mile Stankovski
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Absolute Error ◽  
Error Model ◽  
Quadratic Model ◽  
Control Performance ◽  
Continuous Stirred Tank Reactor ◽  
Quadratic Error ◽  
Varying Parameters ◽  
Cstr System

In this paper, we discuss an improved version of the conventional PID (Proportional–Integral–Derivative) controller, the Dynamically Updated PID (DUPID) controller. The DUPID is a control solution which preserves the advantages of the PID controller and tends to improve them by introducing a quadratic error model in the PID control structure. The quadratic error model is constructed over a window of past error points. The objective is to use the model to give the conventional PID controller the awareness needed to battle the effects caused by the variation of the parameters. The quality of the predictions that the model is able to deliver depends on the appropriate selection of data used for its construction. In this regard, the paper discusses two algorithms, named 1D (one dimensional) and 2D (two dimensional) DUPID. Appropriate to their names, the former selects data based on one coordinate, whereas the latter selects the data based on two coordinates. Both these versions of the DUPID controller are compared to the conventional PID controller with respect to their capabilities of controlling a Continuous Stirred Tank Reactor (CSTR) system with varying parameters in three different scenarios. As a quantifying measure of the control performance, the integral of absolute error (IAE) metric is used. The results from the performed simulations indicated that the two versions of the DUPID controller improved the control performance of the conventional PID controller in all scenarios.

Study on the Dynamics on the Brake of Vehicle after the Effects of Deicing Salt

2010 ◽  
Vol 26-28 ◽  
pp. 862-869
Author(s):  
Tao Peng ◽  
Zhi Peng Li ◽  
Chang Shu Zhan ◽  
Xiang Luo ◽  
Qian Wang
Keyword(s):  
Simulation Model ◽  
Dynamic Model ◽  
The Other ◽  
Snow Melting ◽  
Adhesion Coefficient ◽  
Deicing Salt ◽  
Other Hand ◽  
Road Condition ◽  
Braking Distance ◽  
The Relationship

Through analyzing the process of brake, a dynamic model of automobile and a model of the relationship between braking distance and adhesion coefficient were formed; also a simulation calculating model of braking distance was established with the use of Matlab. Finally, a research was done toward the braking distance of a type of a car running on a road after using snow-melting agent. On one hand, with the application of the simulation model which has been established, calculations have been done to the braking distance of Bora vehicles running on roads after using deicing salt; on the other hand, by experiments, Bora vehicles’ braking distance and maximum braking deceleration under the same road condition were measured, meanwhile, the established simulation model was verified.

Control of Vibration Using Compliant Actuators

2017 ◽  
Vol 139 (5) ◽  
Author(s):  
Sannia Mareta ◽  
Dunant Halim ◽  
Atanas A. Popov
Keyword(s):  
Vibration Control ◽  
Active Control ◽  
Passive Control ◽  
Performance Comparison ◽  
Control Performance ◽  
Frequency Bandwidth ◽  
Series Configuration ◽  
Compliant Actuators ◽  
Stiffness And Damping ◽  
Compliant Actuator

This work proposes a method for controlling vibration using compliant-based actuators. The compliant actuator combines a conventional actuator with elastic elements in a series configuration. The benefits of compliant actuators for vibration control applications, demonstrated in this work, are twofold: (i) vibration reduction over a wide frequency bandwidth by passive control means and (ii) improvement of vibration control performance when active control is applied using the compliant actuator. The vibration control performance is compared with the control performance achieved using the well-known vibration absorber and conventional rigid actuator systems. The performance comparison showed that the compliant actuator provided a better flexibility in achieving vibration control over a certain frequency bandwidth. The passive and active control characteristics of the compliant actuator are investigated, which shows that the control performance is highly dependent on the compliant stiffness parameter. The active control characteristics are analyzed by using the proportional-derivative (PD) control strategy which demonstrated the capability of effectively changing the respective effective stiffness and damping of the system. These attractive dual passive–active control characteristics are therefore advantageous for achieving an effective vibration control system, particularly for controlling the vibration over a specific wide frequency bandwidth.

Fault Detection for an Aileron Actuator under Variable Conditions Based on Bi-Step Neural Network

2015 ◽  
Vol 764-765 ◽  
pp. 740-746
Author(s):  
Hang Yuan ◽  
Chen Lu ◽  
Ze Tao Xiong ◽  
Hong Mei Liu
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Simulation Model ◽  
Working Conditions ◽  
Detection Method ◽  
Fault Tolerant ◽  
Adaptive Threshold ◽  
Residual Error ◽  
The Other ◽  
Aerodynamic Loads

Fault detection for aileron actuators mainly involves the enhancement of reliability and fault tolerant capability. Considering the complexity of the working conditions of aileron actuators, a fault detection method for an aileron actuator under variable conditions is proposed in this study. A bi-step neural network is utilized for fault detection. The first neural network, which is employed as the observer, is established to monitor the aileron actuator and generate the residual error. The other neural network generates the corresponding adaptive threshold synchronously. Faults are detected by comparing the residual error and the threshold. In considering of the variable conditions, aerodynamic loads are introduced to the bi-step neural network. The training order spectrums are designed. Finally, the effectiveness of the proposed scheme is demonstrated by a simulation model with different faults.

Application of Intelligent Materials in Vibration Control for Strapdown Inertial Navigation System

2013 ◽  
Vol 804 ◽  
pp. 275-278
Author(s):  
He Sun ◽  
Fan Li ◽  
Jian Hui Zhao
Keyword(s):  
Vibration Control ◽  
Navigation System ◽  
Pid Controller ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Strapdown Inertial Navigation System ◽  
Control Methods ◽  
Intelligent Materials ◽  
Fuzzy Pid Controller ◽  
Strapdown Inertial Navigation

This paper investigated the vibration control based on intelligent materials for strapdown inertial navigation system (SINS) from theoretical analysis to simulation verification. At first, significance of vibration control in SINS and the disadvantages of the traditional vibration control methods were set forth. Then, intelligent material and structure were introduced to improve the situation. A method of combining active and passive vibration control based on piezoelectric ceramic had been put forward. Through modeling and designing PID and fuzzy PID controller separately, the simulation results show that both the model and the control methods are effective. Finally, its effectiveness and the further researched required to be done were summarized.

Fuzzy PID and Contour Tracking as Applied to Position Control of a Pneumatic Gantry Robot

2013 ◽  
Author(s):  
James Waldie ◽  
Brian Surgenor ◽  
Behrad Dehghan
Keyword(s):  
Pid Controller ◽  
Position Control ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Future Work ◽  
Fuzzy Pd ◽  
Gantry Robot ◽  
Fuzzy Adaptive

In previous work, the performance of PID plus an adaptive neural network compensator (ANNC) was compared with the performance of a novel fuzzy adaptive PID algorithm, as applied to position control of one axis of a pneumatic gantry robot. The fuzzy PID controller was found to be superior. In this paper, a simplified non-adaptive fuzzy algorithm was applied to the control of both axes of the robot. Individual step results are first shown to confirm the validity of the simplified fuzzy PID controller. The fuzzy controller is then applied to a sinuosoidal tracking problem with and without a fuzzy PD tracking algorithm. Initial results are considered to be very promising. Future work requires developing an adaptive version of the controller in order to demonstrate robustness relative to changing tracking frequencies and changing supply pressures.

A Computer Simulation Model for Determining Fleet Size and Composition

1977 ◽  
Vol 99 (1) ◽  
pp. 157-161
Author(s):  
G. C. Schultz ◽  
E. E. Enscore
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Search Algorithms ◽  
The Other ◽  
Hill Climbing ◽  
Computer Simulation Model ◽  
Fleet Size ◽  
Travel Costs ◽  
Total Vehicle ◽  
Vehicle Fleet

A heterogeneous vehicle fleet is one that is composed of several types of vehicles. The number of each type of vehicle in the fleet is called the fleet’s composition. The problem of determining the best fleet size and composition for an in-house heterogeneous company fleet having a known demand was solved in this paper. A computer model was developed which tied a fleet simulation model to two different search algorithms. One of the search algorithms is a complete factorial nonsequential search and the other is a combination of a partial factorial nonsequential search and a heuristic sequential hill-climbing search. The objective of both searches is to select the fleet size and composition which provides the lowest total vehicle travel costs to the company. Several examples were used to demonstrate the use of the model.

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