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Control Systems Technology, IEEE Transactions on

Issue 2 • Date March 2002

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Displaying Results 1 - 15 of 15
  • Network design consideration for distributed control systems

    Publication Year: 2002 , Page(s): 297 - 307
    Cited by:  Papers (164)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (245 KB) |  | HTML iconHTML  

    This paper discusses the impact of network architecture on control performance in a class of distributed control systems called networked control systems (NCSs) and provides design considerations related to control quality of performance as well as network quality of service. The integrated network-control system changes the characteristics of time delays between application devices. This study first identifies several key components of the time delay through an analysis of network protocols and control dynamics. The analysis of network and control parameters is used to determine an acceptable working range of sampling periods in an NCS. A network-control simulator and an experimental networked a machine tool have been developed to help validate and demonstrate the performance analysis results and identify the special performance characteristics in an NCS. These performance characteristics are useful guidelines for choosing the network and control parameters when designing an NCS. View full abstract»

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  • Tailless aircraft flight control using multiple time scale reconfigurable sliding modes

    Publication Year: 2002 , Page(s): 288 - 296
    Cited by:  Papers (59)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (221 KB) |  | HTML iconHTML  

    A triple time scale tailless aircraft flight control problem is addressed via continuous sliding mode control. A reconfigurable sliding mode flight controller is designed that achieves robust, high accuracy command angle tracking both before and after damage to an aircraft. Command angles and angular rate commands are robustly tracked in outer and inner loops correspondingly via finite reaching time continuous sliding mode controllers. An optimal control allocation algorithm is employed using nominal mathematical model of an aircraft. Sliding surface boundary layer reconfiguration (direct adaptation) is used in the "very" inner loop to account for actuator dynamics, deflection limits, and rate limits. Online damage identification is not required by this design. The reconfigurable sliding mode flight control technique is applied to a flight dynamics model of a tailless jet fighter that was developed under is the innovative control effectors program. Simulations demonstrate stability and high accuracy tracking performance without violation of actuator limits View full abstract»

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  • Intelligence-based hybrid control for power plant boiler

    Publication Year: 2002 , Page(s): 280 - 287
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (140 KB) |  | HTML iconHTML  

    A hybrid classical/fuzzy control methodology is presented to integrate low-level machine control and high-level supervision for the steam temperature and water level processes of the power plant boiler. The coupling between two spraying systems can be reduced using hybrid coarse-fine intelligent control with qualitative decoupling strategy. A hierarchical fuzzy system is used for the water level control, instead of the human operator or the proportional integral derivative (PID) control. Industrial applications show the superiority of the proposed intelligent control over the traditional methods View full abstract»

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  • A structured methodology for the design and implementation of control and supervision systems for robotic applications

    Publication Year: 2002 , Page(s): 272 - 279
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (101 KB) |  | HTML iconHTML  

    The adoption of a structured development methodology, based on a design cycle and on formal reference models, is a key issue to manage, possibly in a step-by-step fashion, the design of industrial control and supervision systems, as there are in modern robotic applications. In the present work, a development technique is illustrated, which extends some of the most relevant solutions and methods used to effectively deal with the design of complex control systems and integrates them into a structured methodology with analysis and simulation facilities. The main discriminating features of the presented framework are: the object-oriented approach, compliance with international standards for control software specification, hybrid dynamic models and automatic code generation. The development and implementation of a robot mission for a six degree-of-freedom manipulator is illustrated to highlight the benefits and advantages of the proposed methodology View full abstract»

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  • Rotor compliance minimization via μ-control of active magnetic bearings

    Publication Year: 2002 , Page(s): 238 - 249
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (414 KB) |  | HTML iconHTML  

    Many important problems in the control of rotating machinery with active magnetic bearings (AMBs) concern the minimization of the dynamic compliance of the rotor at a single or several shaft locations which typically do not correspond to those of a sensor or actuator. Experimental results are presented which demonstrate that controller design problems of this type can be successfully handled via μ synthesis. Herein, the problem of minimizing the peak dynamic compliance at the midspan of a rotor test rig is examined. A significant improvement in performance is obtained by a multivariable μ controller over an optimized PD controller. Interestingly, the μ controller obtained is unstable. Careful attention is given to developing an accurate system model, an important aspect of which is modeling the nonlaminated magnetic actuators used View full abstract»

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  • Free-piston diesel engine timing and control - toward electronic cam- and crankshaft

    Publication Year: 2002 , Page(s): 177 - 190
    Cited by:  Papers (14)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (547 KB) |  | HTML iconHTML  

    The free-piston diesel engine replaces the crankshaft of the traditional diesel engine with a power turbine to convert energy from the exhaust gas. Hence, the pistons move freely in the cylinder, mainly influenced by pressure and friction forces. Instead, the motion of the pistons are controlled by an electronic control system - an electronic crankshaft. In addition, the camshaft is replaced by an electronic timing system that triggers and actuates the motion of the valves - an electronic camshaft. In this paper, we describe a hierarchical multirate electronic control system developed for an experimental engine, focusing on piston motion parameter estimation, valve and injector timing, and a piston motion control system. Experimental results with a full scale experimental test engine are included. The results show the effectiveness of the developed control strategy View full abstract»

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  • Modeling and robust control of winding systems for elastic webs

    Publication Year: 2002 , Page(s): 197 - 208
    Cited by:  Papers (62)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (285 KB) |  | HTML iconHTML  

    The objective is to control a web transport system with winder and unwinder for elastic material. A physical modeling of this plant is made based on the general laws of physics. For this type of control problem, it is extremely important to prevent the occurrence of web break or fold by decoupling the web tension and the web velocity. Due to the wide-range variation of the radius and inertia of the rollers the system dynamics change considerably during the winding/unwinding process. Different strategies for web tension control and linear transport velocity control are presented. First, an H robust control strategy which reduces the coupling between tension and velocity, is compared to the decentralized control strategy with proportional integral derivative (PID) controllers commonly used in the industry. Second, an H robust control strategy with varying gains is shown to render the control more robust to the radius variations. Then, a linear parameter varying (LPV) control strategy with smooth scheduling of controllers is synthesized for different operating points and compared to the previous methods. Finally, this LPV control and the H robust control strategy with varying gains are combined to give the best results on an experimental setup, for the rejection of the disturbances introduced by velocity variations and for the robustness to radius and inertia changes View full abstract»

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  • Incremental motion control of synchronous reluctance motor via multisegment sliding mode control method

    Publication Year: 2002 , Page(s): 169 - 176
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (159 KB) |  | HTML iconHTML  

    This paper solves a particular incremental motion control problem, which is specified by the trapezoidal velocity profile, using multisegment sliding mode control. Each segment of the multisegment switching surfaces is designed to match the corresponding part of the trapezoidal velocity profile, so that the motor dynamics on the specified-segment switching surface have the desired velocity or acceleration corresponding to the trapezoidal profile. The multisegment sliding mode control is applied to a synchronous reluctance motor system to demonstrate its effectiveness. A PC-based prototype system is built to verify the validity of the proposed scheme View full abstract»

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  • Frequency domain identification of dynamic friction model parameters

    Publication Year: 2002 , Page(s): 191 - 196
    Cited by:  Papers (33)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (138 KB) |  | HTML iconHTML  

    This paper presents a frequency domain identification of dynamic model parameters for frictional presliding behavior. The identification procedure for the dynamic model parameters, i.e., (1) the stiffness and (2) the damping of the presliding phenomenon, is reduced from performing several dedicated experiments to one experiment where the system is excited with random noise and the frequency response function (FRF) of the phenomenon is measured. Time domain validation experiments on a servomechanism show accurate estimates of the dynamic model parameters for the linearized presliding behavior View full abstract»

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  • A neuro-adaptive variable structure control for partially unknown nonlinear dynamic systems and its application

    Publication Year: 2002 , Page(s): 263 - 271
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (282 KB) |  | HTML iconHTML  

    If the unknown nonlinear dynamic system is not in a controllable canonical form or of relative degree one, then the derivative of the tracking error is unknown. The controller design for these systems will be complex. In this paper, an estimator for the unknown tracking error with order equivalent to relative degree, is first designed, to obtain a sliding surface and to reduce the number of unknown nonlinear functions required to learn. In this situation, the total number of connection weight in neural-networks decreases. Furthermore, two learning laws with e-modification are employed to ensure the boundedness of estimated connection weights without the requirement of persistent excitation (PE) condition. The system performance can be better than that of other control schemes required many learning functions. In addition, stability of the overall system is verified by Lyapunov theory so that ultimate bounded tracking is accomplished. Simulation and experimental results of four-bar-linkage system are presented to confirm the usefulness of the proposed control View full abstract»

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  • A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants

    Publication Year: 2002 , Page(s): 256 - 262
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (195 KB) |  | HTML iconHTML  

    Presents a modeling and control method for thermal power plants having nonlinear dynamics varying with load. First, a load-dependent exponential ARX (Exp-ARX) model that can effectively describe the plant nonlinear properties and requires only off-line identification is presented. The model is then used to establish a constrained multivariate multistep predictive control (ExpMPC) strategy whose effectiveness is illustrated by a simulation study of a 600 megawatt (MW) thermal power plant. Although the predictive control algorithm may be used without resorting to online parameter estimation, it is much more reliable, and displays much better control performance than the usual generalized predictive control (GPC) algorithm View full abstract»

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  • Speed gradient approach to longitudinal control of heavy-duty vehicles equipped with variable compression brake

    Publication Year: 2002 , Page(s): 209 - 220
    Cited by:  Papers (7)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (258 KB) |  | HTML iconHTML  

    This paper considers a longitudinal speed control problem for heavy-duty vehicles equipped with variable compression brake. The use of compression brake reduces the wear of the conventional friction brakes, and it is a preferred way of controlling the vehicle speed during a steady descent or non-critical braking maneuvers. To perform more aggressive braking maneuvers or control vehicle speed during large changes in the grade, the compression brake must be coordinated with gear ratio adjustments and friction brakes. We develop nonlinear controllers that accomplish both noncritical and critical maneuvers. We also show how distance constraints from other vehicles in traffic may be included. The design technique is based on the speed-gradient (SG) approach, whereby the control action is chosen in the maximum descent direction for a scalar goal function. The nominal goal function is selected to address the speed regulation objective, and it is then appropriately modified by barrier functions to handle the critical maneuver requirements. Two ways to handle the uncertainty in the road grade are discussed: through the use of an integral action of the SG controller for constant grades, and through the use of an added differential action for varying grades View full abstract»

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  • Model and controller reduction for flexible aircraft preserving robust performance

    Publication Year: 2002 , Page(s): 229 - 237
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (211 KB)  

    This paper presents a systematic model/controller order reduction method applied to flexible aircraft. The method, based on mixed μ-synthesis, determines which flexible modes can be truncated from the full-order model of the aircraft and finds a corresponding reduced order controller preserving robust closed-loop performance. This method is of interest for practical model and controller reduction for flexible aircraft because in this context it is important to keep the physical interpretation of the truncated and remaining modes. Numerical examples are given for a flexible model of a B-52 bomber and a three-mass flexible system View full abstract»

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  • Experimental comparative analysis of adaptive fuzzy logic controllers

    Publication Year: 2002 , Page(s): 250 - 255
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (133 KB) |  | HTML iconHTML  

    Conventional control depends on the mathematical model of the plant being controlled. When this model is uncertain, intelligent controllers, like fuzzy logic controllers (FLCs), promise better performance. FLC requires expertise knowledge of the process operation for FLC parameter setting, and the controller can be only as good as the expertise involved in the design. To make the controller less dependent on the quality of the expert knowledge, we investigate different adaptation schemes to compensate for this deficiency and propose practical adaptive fuzzy logic controllers (AFLCs). While most intelligent controller's effectiveness is proven only using simulation, we aim in this paper to compare the conventional control to FLC and AFLC experimentally. This can be achieved by constructing a hardware station comprising a plant and implementing different control algorithms for the same load conditions or disturbances View full abstract»

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  • Neurointerfaces

    Publication Year: 2002 , Page(s): 221 - 228
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (164 KB) |  | HTML iconHTML  

    A neurointerface is a nonlinear filtering system based on neural networks (NNs) that serves as a coupler between a human operator and a nonlinear system or plant that is to be controlled or directed. The purpose of the coupler is to ease the task of the human controller. The equations of the plant are assumed to be known. If the plant is unstable, it must first be stabilized by feedback. Using the plant equations, off-line automatic learning algorithms are developed for training the weights of the neurointerface and the weights of an adaptive plant disturbance canceller. Application of these ideas to backing a truck with two trailers under human direction is described. The "truck backer" has been successfully demonstrated by computer simulation and by physical implementation with a small radio-controlled truck and trailers View full abstract»

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