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Hedging-point control policy for a failure-prone manufacturing system

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2017年第8期231卷 1479-1487页

作者： Yan, Hong-Sen Jiang, Tian-Hua Meng, Xian-Gang Shi, Wen-Wu Southeast Univ Key Lab Measurement & Control Complex Syst Engn Minist Educ Nanjing 210096 Jiangsu Peoples R China Southeast Univ Sch Automat Nanjing 210096 Jiangsu Peoples R China Tianjin Univ Technol Sch Automat Tianjin Peoples R China

The production control of failure-prone manufacturing systems is notoriously difficult because such systems are uncertain and non-linear. Since the introduction of hedging-point policies, many researches have been done in this field. However, there are few literatures that consider the production control problem of tree-structured manufacturing systems. In this article, a hedging-point production control policy is proposed for a multi-machine, tree-structured failure-prone manufacturing system. To obtain the optimal hedging points, an iterative learning algorithm is developed by considering the system's characteristics. A simulation method is embedded in the iterative learning algorithm to calculate the system cost. To estimate the performance of the proposed algorithm, comparisons are made between our algorithm, genetic algorithm and particle swarm optimization algorithm. The experimental results show that our algorithm works better than others in reducing the computation time and minimizing the production cost.

关键词： Tree-structured production control simulation method iterative learning algorithm

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Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm

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INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL 2015年第1期23卷 1-7页

作者： Guo, Yuzhu Guo, Ling Zhong Billings, Stephen A. Wei, Hua-Liang Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England Univ Sheffield INSIGNEO Inst In Silico Med Sheffield S1 3JD S Yorkshire England

A new iterative orthogonal least squares forward regression (iOFR) algorithm is proposed to identify nonlinear systems which may not be persistently excited. By slightly revising the classic forward orthogonal regression (OFR) algorithm, the new iterative algorithm provides search solutions on a global solution space. Examples show that the new iterative algorithm is computationally efficient and capable of producing a good model even when the input is not completely persistently excited.

关键词： model structure detection nonlinear system identification non-persistence orthogonal forward regression OFR iterative learning algorithm OFR algorithm iOFR algorithm

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

Hardware-in-the-Loop Simulation for Active Force Control wit...

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4th International Conference on Mechanical and Manufacturing Engineering (ICME 2013)

作者： Rosli, Rosmazi Mailah, Musa Priyandoko, Gigih Univ Malaysia Pahang Fac Mech Engn Pekan Pahang Malaysia Univ Teknol Malaysia Fac Mech Engn Skudai Malaysia

ISBN: (纸本)9783037859339

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 MD 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.

关键词： Active force control iterative learning algorithm active suspension hardware-in-the-loop simulation

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A novel approach to fault diagnosis for time-delay systems

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COMPUTERS & ELECTRICAL ENGINEERING 2014年第7期40卷 2273-2284页

作者： Yan, Bingyong Wang, Huifeng Wang, Huazhong E China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China

In this paper, a novel fault detection and identification (FDI) scheme for time-delay systems is presented. Different from the existing FDI design methods, the proposed approach utilizes fault tracking approximator (FTA) and iterative learning algorithm to obtain estimates of the fault functions. Performance of the FTA is rigorously analyzed by investigating its stability and fault tracking sensitivity properties in the presence of slowly developing or abrupt faults for state delayed dynamic systems. A novel feature of the FTA is that it can simultaneously detect and identify the shape and magnitude of the faults. Additionally, an extension to a class of nonlinear time-delay systems is made by using nonlinear control theories. Finally, the applicability and effectiveness of the proposed FDI scheme is illustrated by a practical industrial process. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Fault detection and identification iterative learning algorithm Fault tracking approximator Time-delay systems

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Evolutionary algorithms for Self-tuning Active Vibration Control of Flexible Beam 3rd

Evolutionary Algorithms for Self-tuning Active Vibration Con...

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3rd Australian Control Conference (AUCC)

作者： Fadil, Muhammad Anas Darus, Intan Z. Mat Univ Teknol Malaysia Dept Appl Mech & Design Fac Mech Engn Johor Baharu Malaysia

ISBN: (纸本)9781479924981;9781479924974

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 using Least Squares (LS) algorithm that incorporated the Auto Regressive (ARX) model structure. The AVC controllers developed are proportional-derivative (PD) and proportional-integral-derivative (PID). The parameters of PD and PID controllers were tuned using iterative learning algorithm (ILA) and evolutionary Particle Swarm Optimization (PSO) techniques. Mean squared errors (MSE) were used to compare PSO tuned PD (PD-PSO), PSO tuned PID (PID-PSO) and PID with ILA (PID-ILA) controllers. It was found that the PID-ILA controller tuned using ILA had performed better than PID-PSO but PD-PSO is the best among the three controllers.

关键词： Flexible Beam iterative learning algorithm Least Square and Particle Swarm Optimization

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PID Controller for Idle Speed Control

PID Controller for Idle Speed Control

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UKSim-AMSS 15th International Conference on Computer Modelling and Simulation (UKSim)

作者： Kamaruddin, Tengku N. A. Tuan Darus, Intan Z. Mat Int Islamic Univ Malaysia Dept Mech Engn Kuala Lumpur Malaysia Univ Teknol Malaysia Fac Mech Engn Dept Appl Mech Johor Baharu Malaysia

ISBN: (纸本)9780769549941;9781467364218

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 spark-ignition engine modeling and used as the input-output data in the system identification part. The obtained transfer function from RLS technique is used in the development of the control system for the idle speed control by PID controllers. The main objective of the idle speed control is to maintain the idling speed at 650rpm and to reject as quickly as possible the extra load exerted on the engine system during idling mode. Comparing the three methods, it shows that PID tuning by ILA produced better results than heuristic tuning and pole placement.

关键词： idle speed control PID controller heuristic tuning pole placement iterative learning algorithm

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Patient Adaptive Control of End-Effector Based Gait Rehabilitation Devices Using a Haptic Control Framework

Patient Adaptive Control of End-Effector Based Gait Rehabili...

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IEEE International Conference on Rehabilitation Robotics (ICORR)/International Neurorehabilitation Symposium (INRS)/International Conference on Virtual Rehabilitation (ICVR)

作者： Hussein, Sami Krueger, Joerg Tech Univ Berlin Fac Mech Engn Rehabil Robot Grp IPK TU Berlin D-10587 Berlin Germany Fraunhofer Inst IPK Automat Technol Div D-10587 Berlin Germany

ISBN: (纸本)9781424498628

Robot assisted training has proven beneficial as an extension of conventional therapy to improve rehabilitation outcome. Further facilitation of this positive impact is expected from the application of cooperative control algorithms to increase the patient's contribution to the training effort according to his level of ability. This paper presents an approach for cooperative training for end-effector based gait rehabilitation devices. Thereby it provides the basis to firstly establish sophisticated cooperative control methods in this class of devices. It uses a haptic control framework to synthesize and render complex, task specific training environments, which are composed of polygonal primitives. Training assistance is integrated as part of the environment into the haptic control framework. A compliant window is moved along a nominal training trajectory compliantly guiding and supporting the foot motion. The level of assistance is adjusted via the stiffness of the moving window. Further an iterative learning algorithm is used to automatically adjust this assistance level. Stable haptic rendering of the dynamic training environments and adaptive movement assistance have been evaluated in two example training scenarios: treadmill walking and stair climbing. Data from preliminary trials with one healthy subject is provided in this paper.

关键词： Foot Force Haptic interfaces Legged locomotion Training Trajectory adaptive control cooperative control algorithms elastic constants end-effector based gait rehabilitation devices foot motion gait analysis handicapped aids haptic control framework haptic interfaces iterative learning algorithm patient adaptive control patient rehabilitation patient treatment polygonal primitives robot assisted training stair climbing stiffness task specific training environments treadmill walking

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Upsetting machine control system based on the embedded technology

Upsetting machine control system based on the embedded techn...

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8th International Conference on Electronic Measurement and Instruments

作者： Wu Liming Lai Nanhui Wang Guitang Chen Jingyu Guangdong Univ Technol Sch Informat Engn Guangzhou 510006 Peoples R China

ISBN: (纸本)1424411351

In this paper, based on the electrothermal upsetting processing method, the process of valve upsetting is divided into two steps: initial upsetting and formal upsetting. Four parameters, including *** current;2 press;***;***, which influence the manufacture process in evidence, is mainly discussed. Analyzing defect and deficiency of tradition processing, the article, puts forward to a controlling strategy with iteration technique and designed an embedded valve upset forging microcomputer control system. The electrothermal upsetting control system based on embedded technology stores the experience and technique of local worker, optimizes the tradition processing by using ARM S3C2410X chip. During the process, controlling parameters such as press, displacement and voltage are real-time monitored. Signal feeds back to system by sensors to realize the closed loop controlling on-line self-study function. And the technics parameters and the controlling process will display on the HMI (Human Machine Interface). Using the system, the quality and efficiency of the valve manufacture are improved, and the robustness gets stronger. The system has been applied in enterprises. Comparing with the tradition one, the automaticity in manufacture is improved, and the rejection rate is reduced. It also benefits the informationization of production of enterprise.

关键词： electric upsetter control system iterative learning algorithm embedded system Vxworks

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Upsetting Machine Control System Based on the Embedded Technology

Upsetting Machine Control System Based on the Embedded Techn...

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2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Wu Liming Lai Nanhui Wang Guitang Chen Jingyu School of Information Engineering, Guangdong University of Technology, Guangzhou 510006 China

In this paper, based on the electrothermal upsetting processing method, the process of valve upsetting is divided into two steps: initial upsetting and formal upsetting. Four parameters, including *** current;***;***;***, which influence the manufacture process in evidence, is mainly discussed. Analyzing defect and deficiency of tradition processing, the article puts forward to a controlling strategy with iteration technique and designed an embedded valve upset forging microcomputer control system. The electrothermal upsetting control system based on embedded technology stores the experience and technique of local worker, optimizes the tradition processing by using ARM S3C2410X chip. During the process, controlling parameters such as press, displacement and voltage are real-time monitored. Signal feeds back to system by sensors to realize the closed loop controlling on-line self-study function. And the technics parameters and the controlling process will display on the HMI (Human Machine Interface). Using the system, the quality and efficiency of the valve manufacture are improved, and the robustness gets stronger. The system has been applied in enterprises. Comparing with the tradition one, the automaticity in manufacture is improved, and the rejection rate is reduced. It also benefits the informationization of production of enterprise.

关键词： electric upsetter control system iterative learning algorithm embedded system Vxworks

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Design of learning input shaping technique for residual vibration suppression in an industrial robot

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IEEE-ASME TRANSACTIONS ON MECHATRONICS 2006年第1期11卷 55-65页

作者： Park, J Chang, PH Park, HS Lee, E Daewoo Shipbldg & Marine Engn Co Ltd Koje 656714 South Korea Korea Adv Inst Sci & Technol Taejon 305701 South Korea Rehabil Inst Chicago Chicago IL 60611 USA

In this paper, a practical method is proposed to suppress residual vibrations of industrial robots without a real-time estimation of vibration frequencies. Through theoretical analysis and experiments, we designed an input shaping technique (IST) for the first three axes of a six-degrees-of-freedom industrial robot. iterative learning IST (LIST) is applied to the first axis to suppress its time-varying nonlinear residual vibration, while conventional IST is applied to the second and third axes. Experimental results show that LIST can suppress residual vibrations to a level similar to that of a time-varying IST which requires complicated real-time estimation of a dynamic model. The LIST is an attractive method for suppression of nonlinear and time-varying residual vibrations in industrial robots which perform repetitive tasks because most industrial robots have limited computing power and memory space in their controllers.

关键词： flexible structure industrial robot input shaping iterative learning algorithm residual vibration

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