Structure Control System Design Research Articles

Design and Simulation of a Multi-Channel Biomass Hot Air Furnace with an Intelligent Temperature Control System

Timely and effective drying of agricultural products is crucial for ensuring the quality and yield of grains. Biomass drying enhances energy utilization and reduces energy pressure. To this end, a novel multi-channel circulating biomass hot air furnace was designed to provide precise control of the heat source for grain drying, thereby improving the efficiency and quality of the drying process. The combustion process utilizes a multi-channel combined air supply to ensure complete combustion of biomass pellet fuel. During the heat exchange process, heat exchange plates isolate hot and cold areas, discharging combustion exhaust, while ensuring a pure air output. Using rapeseed as the drying subject, a temperature controller based on adaptive fuzzy PID was designed, targeting the biomass hot air furnace’s heat exchange system for modeling and verifying the model with the step response method. Model simulations were conducted in Matlab’s Simulink module using both adaptive fuzzy PID and traditional PID controllers, for a given signal. The settling times for the conventional PID and fuzzy PID were 445 s and 364 s, respectively, with overshoots of 20.1% and 6.3%, showing that the fuzzy PID controller performed better in terms of control performance. The validation tests showed that both control methods could maintain the temperature within ±5 °C. Compared to traditional PID control, the adaptive fuzzy PID control achieved a precision of ±3 °C. At the target temperature of 90 °C, the error was reduced to 3.7%, with a stabilization time of 1014 s. The use of fuzzy PID control exhibited better dynamic response characteristics, meeting the drying needs of rapeseed. This study provides a theoretical basis for the structural design and control system design of biomass hot air furnaces.

Structural Optimization and Control System Design for a Rake Dryer

Structural Optimization and Control System Design for a Rake Dryer

Physical Application of Mechanical Parts and Components Simulate in Receivable Auxiliary Multifunction Mechanical Hand and Claw

Based on the analysis of current office work status and office robots, this paper proposes a design scheme of intelligent mechanical gripper which can transfer data and move objects independently to assist daily office work. It is proposed to design mechanical structure, including mechanism motion design and part structure design, and to use Autodesk Inventor to design and simulate mechanical parts and components. Dimensional and strength checks are carried out on key components, and stress analysis is simulated by using stress analysis module included in Autodesk Inventor. Finally, the mechanical structure design scheme and control system design scheme for the mechanical gripper are proposed. The overall design mainly centers on the functions expected to be completed, and innovates different organizations in combination to achieve the intended objective.

The modular structure designs of a type of stir frying device

The main task of cooking robot is to complete all kinds of cooking work instead of people. Based on the single-chip microcomputer control system, the author describes the modular design of a stir frying device in this article, and elaborates on the overall scheme design, mechanical structure design and control system design of a type of stir frying device. The device detects the temperature in the pot through a temperature sensor, controls the mechanical arm, the pancake turner and ingredient tray through two steering engines, a stepping motor and an adjustable-speed DC motor to make them reach the designated position. The entire cooking process is coordinated and controlled by the program. It can complete a series of actions such as pouring oil, putting vegetables in the pot, adding seasonings, stir-frying. Besides, it also can control the cooking time and heating degree in each link until the production of a dish is completed. The stir frying device realizes the modularization and automation of the cooking process.

End stiffness modeling for automatic horizontal dual-machine cooperative drilling and riveting system

Aircraft panel automatic drilling and riveting system is the key equipment to realize aircraft panel assembly with high efficiency and quality. In practical application, automatic drilling and riveting system should bear cyclic riveting force with large load, which means such systems must have enough stiffness to deal with this situation. The stiffness of each components in automatic drilling and riveting system reflects as the end stiffness finally; in the meanwhile, end stiffness and riveting ability of the system will be affected when the posture of the system changes. According to this situation, stiffness matrixes related to mechanics characteristic of motion axes, transmission parts, inner-side working head, and outer-side working head of automatic horizontal dual-machine cooperative drilling and riveting system are established, in which the Jacobi matrix method, point transformation matrix method, and finite element analysis are applied. Finally, the static end stiffness model is proposed based on multi-body small deflection theory. The end stiffness model has been validated through experimental measurement, and the stiffness relationship of dual-machine tool system was obtained, which applied important data for structure optimization and control system design.

Design of the Curtain Wall Cleaning Robot

The curtain wall cleaning robot suitable for special-shaped wall structure of buildings is designed, and the mechanical structure design and control system design of the curtain wall cleaning robot is completed in the paper.The curtain wall cleaning robot is composed of two parts with the same structure. The hinge mechanism is used to realize the turning action of irregular wall. The suction and movement of the cleaning robot are realized by vacuum adsorption of the sucker. And the motor controlled the rotation of the roller brush. The screw guide rail drives the roller brush up and down to realize cleaning. Based on the mechanical structure design, the control system of curtain wall cleaning robot is designed. And PLC control system is used to control the sequence of action of curtain wall cleaning robot.

An investigation of the relation between ownership structure and management control in professional service organisations

PurposeThis study aims to examine the interplay between ownership structure (organisational form) and management control system (MCS) design as governance structures within Australian primary health-care organisations (PHOs), seeking support for the suggestion that professional services will be most efficiently and effectively provided in organisations that have internal governance that is matched to their ownership form.Design/methodology/approachThe analysis is based on a series of in-depth investigations into the MCS choices made by seven Australian PHOs. Arguing that the degree of information impactedness is inversely related to the level of general practitioner (GP) ownership, organisations where more than 50 per cent of the GPs working within the practice are owners are classified as “high ownership” (“low information impactedness”). The adoption by high-performing organisations of their predicted MCS archetype according to Speklé’s development is then interpreted as representing empirical support.FindingsThe findings provide uniform support for the importance of the match between ownership structure and internal governance mechanisms. As predicted, the two high-performing, high member-owned organisations reported MCS resembling exploratory archetypes, the three high-performing, low member-owned organisations reported MCS consistent with a boundary archetype and the two low-performing organisations reported little emphasis on any control.Research limitations/implicationsThis study provides evidence of the importance of the appropriate match between ownership structure and internal governance mechanisms for PHOs.Practical implicationsThis study has potential to assist managers, owners and advisors to optimise MCS design in professional services organisations where there is heterogeneous ownership by professionals.Originality/valueThis study is one of the few attempts to provide empirical support for the assertion of the importance of a match between ownership structure and MCS design. It also represents one of the few attempts to provide empirical support for Speklé’s (2001) control archetypes, here the boundary and exploratory archetypes, archetypes that are applicable within important sectors of the economy, notably the professional services sector.

Design of Meteorological Element Detection Platform for Atmospheric Boundary Layer Based on UAV

Among current detection methods of the atmospheric boundary layer, sounding balloon has disadvantages such as low recovery and low reuse rate, anemometer tower has disadvantages such as fixed location and high cost, and remote sensing detection has disadvantages such as low data accuracy. In this paper, a meteorological element sensor was carried on a six-rotor UAV platform to achieve detection of meteorological elements of the atmospheric boundary layer, and the influence of different installation positions of the meteorological element sensor on the detection accuracy of the meteorological element sensor was analyzed through many experiments. Firstly, a six-rotor UAV platform was built through mechanical structure design and control system design. Secondly, data such as temperature, relative humidity, pressure, elevation, and latitude and longitude were collected by designing a meteorological element detection system. Thirdly, data management of the collected data was conducted, including local storage and real-time display on ground host computer. Finally, combined with the comprehensive analysis of the data of automatic weather station, the validity of the data was verified. This six-rotor UAV platform carrying a meteorological element sensor can effectively realize the direct measurement of the atmospheric boundary layer and in some cases can make up for the deficiency of sounding balloon, anemometer tower, and remote sensing detection.

Design of a Micro Cable Tunnel Inspection Robot

As the ventilation system in cable tunnel is not perfect and the environment is closed, it is easy to accumulate toxic and harmful gas. It is a serious threat to the life safety of inspection staff. Therefore, a micro cable tunnel inspection robot is designed. The whole design plan mainly includes two parts: mechanical structure design and control system design. According to the functional requirements of the tunnel inspection robot, a wheel arm structure with crawler type is proposed. Some sensors are used to collect temperature, gas and image and transmit the information to the host computer in real time. The result shows the robot with crawler wheel arm structure has the advantages of small volume, quick action and high performance-price ratio. Besides, it has high obstacle crossing and avoidance ability and can adapt to a variety of complex cable tunnel environment.

逐次LMIと分枝限定法を用いたトラス構造の 位相・形状と制御系の同時最適設計

逐次LMIと分枝限定法を用いたトラス構造の 位相・形状と制御系の同時最適設計

Adaptive structural control using dynamic hyperspace

The design of closed-loop structural control systems necessitates a certain level of robustness to cope with system uncertainties. Neurocontrollers, a type of adaptive control system, have been proposed to cope with those uncertainties. However, the performance of neural networks can be substantially influenced by the choice of the input space, or the hyperspace in which the representation lies. For instance, input selection may influence computation time, adaptation speed, effects of the curse of dimensionality, understanding of the representation, and model complexity. Input space selection is often overlooked in literature, and inputs are traditionally determined offline for an optimized perfor mance of the neurocontroller. Such offline input selection is often unrealistic to conduct in the case of civil structures. In this paper, a novel method for automating the input selection process for neural networks is presented. The method is purposefully designed for online input selection during adaptive identification and control of nonlinear systems. Input selection is conducted online and sequentially, while the excitation is occurring. The algorithm designed for the adaptive input space assumes local quasi-stationarity of the time series, and embeds local maps sequentially in a delay vector using the embedding theorem. The input space of the representation is subsequently updated. The performance of the proposed dynamic input selection method is demonstrated through simulating semi-active control of an existing structure located in Boston, MA, U.S.A. Simulation results show the substantial performance of the proposed algorithm over traditional fixed-inputs strategies.

Design of viscous fluid passive structural control systems using pole assignment algorithm

SUMMARY A methodology is developed for the design of optimum viscous fluid passive energy dissipation systems using pole assignment active control algorithm. In this method, the procedure to assign the new structural poles is slightly modified such that the resulting structural properties (i.e., the optimum locations of system poles) can be achieved merely by modification of structural stiffness and addition of a passive control system. A combination of stiffness reduction and increase of damping is utilized to reduce both acceleration and displacement response. It is shown that the control systems designed using this method provide structural performances slightly better than or close to those of ordinarily designed optimum passive systems. Furthermore, by an educated selection of the locations of the structural poles, the proposed method provides more versatility in the design of passive control systems. Copyright © 2013 John Wiley & Sons, Ltd. Received 21 April 2013; Revised 12 October 2013; Accepted 19 October 2013

Modern Attitude Control and Co-design for the Biomass Satellite (Earth Explorer Core Mission 7)

The purpose of this paper is to describe the current results and future activities of the European Space Agency (ESA) Robust AOCS technology program in support to the Biomass, Earth Explorer Core Mission 7. Due to the specificity of the chosen Biomass configuration this activity is driven by the expected interaction between the large flexible reflector antenna structure and its attitude control system. Currently ESA has developed a technology program to enable the capabilities of integrating the structural sizing and control system design in order to avoid interactions problems. The objective is the development of an Integrated Modeling, Control and Analysis framework IMCA: it incorporates uncertainty modeling via LFT's, robustness analysis via the Structured Singular Value μ and various robust control synthesis techniques such as H∞ and μ methods. This framework results as natural multivariable extensions of the classical Bode frequency domain techniques. It shall be integrated with a structural design loop into an unified computational framework to exploit control structures interactions in order to increase the spacecraft capabilities, such as better pointing stability, and to improve the overall design when compared to the traditional approach. Following the conclusion of the Phase A, the outcome of two parallel activities will be presented.

Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures

This paper proposes a multi-objective genetic algorithm (MOGA) for optimal placements of control devices and sensors in seismically excited civil structures through the integration of an implicit redundant representation genetic algorithm with a strength Pareto evolutionary algorithm 2. Not only are the total number and locations of control devices and sensors optimized, but dynamic responses of structures are also minimized as objective functions in the multi-objective formulation, i.e., both cost and seismic response control performance are simultaneously considered in structural control system design. The linear quadratic Gaussian control algorithm, hydraulic actuators and accelerometers are used for synthesis of active structural control systems on large civil structures. Three and twenty-story benchmark building structures are considered to demonstrate the performance of the proposed MOGA. It is shown that the proposed algorithm is effective in developing optimal Pareto front curves for optimal placement of actuators and sensors in seismically excited large buildings such that the performance on dynamic responses is also satisfied.

Integrated Design of Structural and Semi-active Control Systems: Inverse Lyapunov Approach

An integrated design method of structural and semi-active control systems for civil structures is presented. The Vibration Control Device (VCD) that has been developed by authors is used as the semi-active control device. A new semi-active control method, which is referred to as the inverse Lyapunov approach, is proposed. In the inverse Lyapunov approach we firstly assume a bang-bang type semi-active control law based on an unknown Lyapunov function. The Lyapunov matrix that defines the Lyapunov function is optimized so that quantitative performance measures on vibration suppression of civil structures are optimized. The control design problem of the semi-active control law in the inverse Lyapunov approach results in an optimization problem of the Lyapunov matrix to construct the Lyapunov function. In the present study, in addition to the design parameters to determine the Lyapunov matrix, structural design parameters, the stiffness between neighboring two floors of the structural system itself and the parameters of the VCD, are optimized simultaneously so that the structural responses subject to recorded and/or artificial earthquake waves are optimized in the sense of the specifications on vibration suppression of civil structures. We adopt the Genetic Algorithm (GA) to get the optimal Lyapunov matrix and the structural design parameters.

Robust Attitude Control Design for the BIOMASS Satellite (Earth Explorer Core Mission Candidate)

AbstractThe purpose of this paper is to describe the current activities, results to date, and future activities of the European Space Agency (ESA) Robust AOCS technology program in support to the Phase A of BIOMASS, candidate as Earth Explorer Core Mission 7. Due to the specificity of the chosen BIOMASS configuration this activity is driven by the expected interaction between the large flexible reflector antenna structure and its attitude control system. Currently ESA has developed a technology program to enable the capabilities of integrating the structural sizing and control system design in order to avoid interactions problems. The objective is the development of an Integrated Modeling, Control and Analysis framework IMCA: it incorporates uncertainty modeling via LFT's, robustness analysis via the Structured Singular Value μ and various robust control synthesis techniques such as H∞ and μ methods. This framework results as natural multivariable extensions of the classical Bode frequency domain techniques. It shall be integrated with a structural design loop into an unified computational framework to exploit control structures interactions in order to increase the spacecraft capabilities, such as better pointing stability, and to improve the overall design when compared to the traditional approach. In the execution of this program two parallel activities will be presented, respectively one by Astrium Limited, UK, and the other by ThalesAlenia Space (TAS), Italy.

1A15 Integrated Design of Structural and Semi-active Control Systems : Inverse Lyapunov Approach

1A15 Integrated Design of Structural and Semi-active Control Systems : Inverse Lyapunov Approach

132 建築構造物を対象とした構造系とセミアクティブ制御系の統合化設計

132 建築構造物を対象とした構造系とセミアクティブ制御系の統合化設計

Decentralized ℋ︁∞ controller design for large‐scale civil structures

AbstractComplexities inherent to large‐scale modern civil structures pose many challenges in the design of feedback structural control systems for dynamic response mitigation. With the emergence of low‐cost sensors and control devices creating technologies from which large‐scale structural control systems can deploy, a future control system may contain hundreds, or even thousands, of such devices. Key issues in such large‐scale structural control systems include reduced system reliability, increasing communication requirements, and longer latencies in the feedback loop. To effectively address these issues, decentralized control strategies provide promising solutions that allow control systems to operate at high nodal counts.This paper examines the feasibility of designing a decentralized controller that minimizes the ℋ︁∞ norm of the closed‐loop system. ℋ︁∞ control is a natural choice for decentralization because imposition of decentralized architectures is easy to achieve when posing the controller design using linear matrix inequalities. Decentralized control solutions are investigated for both continuous‐time and discrete‐time ℋ︁∞ formulations. Numerical simulation results using a 3‐story and a 20‐story structure illustrate the feasibility of the different decentralized control strategies. The results also demonstrate that when realistic semi‐active control devices are used in combination with the decentralized ℋ︁∞ control solution, better performance can be gained over the passive control cases. It is shown that decentralized control strategies may provide equivalent or better control performance, given that their centralized counterparts could suffer from longer sampling periods due to communication and computation constraints. Copyright © 2008 John Wiley & Sons, Ltd.

An Integrated Design of Structural and Gain Scheduled Control Systems

We deal with an integrated design problem of structural and gain scheduled control systems for LPV systems. The integrated design problem is formulated as an optimization problem of structural design parameters and a gain scheduled controller minimizing L2 gain of the closed-loop system. Even in the simplest case the integrated design problem is represented as a BMI problem which cannot be solved exactly and efficiently. In the present paper we propose an iterative LMI-based method to solve the formulated optimization problem approximately. We can guarantee the local convergence of the closed-loop L2 gain with the proposed design algorithm even if the coefficient matrices of the state-space form of the control object are nonlinear functions on the structural design parameters. We show the effectiveness of the proposed design method through a design example.