In this paper we compare linear and nonlinear controllers for an axial flow compressor. The control laws are designed for asymmetric interstage bleed valve actuation. We show that a nonlinear LgV controller achieves a...
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In this paper we compare linear and nonlinear controllers for an axial flow compressor. The control laws are designed for asymmetric interstage bleed valve actuation. We show that a nonlinear LgV controller achieves a larger region of attraction than that achieved by an LQR controller.
Methods for estimating the aerospace system parameters and controlling them through two neural networks are presented in this study. We equate the energy function of Hopfield neural network to integral square of error...
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Methods for estimating the aerospace system parameters and controlling them through two neural networks are presented in this study. We equate the energy function of Hopfield neural network to integral square of errors in the system dynamics and extract the parameters of a system. Parameter convergence is proved. For control, we equate the equilibrium status of a `modified' Hopfield neural network to the steady state Ricatti solution with the system parameters as inputs. Through these two networks, we present the online identification and control of an aircraft using its nonlinear dynamics.
Tracking a target from a dynamic platform (i.e. aircraft, ground vehicle) requires a servo architecture that includes an outer track loop and an inner rate loop that stabilizes the line of sight (LOS). This paper focu...
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Tracking a target from a dynamic platform (i.e. aircraft, ground vehicle) requires a servo architecture that includes an outer track loop and an inner rate loop that stabilizes the line of sight (LOS). This paper focuses on the rate loop design and the effects of friction and cable restraint on it's performance. Adaptive friction and feedback compensators are designed to improve tracking performance. The adaptive feedback compensator is tuned so that the gimbal response follows that of a reference model.
This paper explores the benefits of integration of building control solutions with enterprise level applications and how underlying technologies and industry standards are used to improve facility management decision ...
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This paper explores the benefits of integration of building control solutions with enterprise level applications and how underlying technologies and industry standards are used to improve facility management decision making. The discussion will also focus on how building control solutions providers like Honeywell Inc. are addressing a facilities' total information access and control needs to make higher order integration a competitive advantage in creating better business outcomes.
This paper presents a new real-time architecture for motion control of industrial robots. The new controlsystem obtained has two main advantages: first it provides a total open control architecture, and second it is ...
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This paper presents a new real-time architecture for motion control of industrial robots. The new controlsystem obtained has two main advantages: first it provides a total open control architecture, and second it is the simplicity and the interactivity of the platform developed. Experimental evaluation of a passivity-based control scheme shows the benefits of the architecture which is unique in the sense that open and advanced control can be combined with built-in safety logic as required in industrial applications.
The need for innovative integrated methods in order to perform the comprehensive analysis and design of electric drives with induction motors has facilitated theoretical developments within the overall spectrum of con...
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The need for innovative integrated methods in order to perform the comprehensive analysis and design of electric drives with induction motors has facilitated theoretical developments within the overall spectrum of control theory. Nonlinear analysis and modeling, identification and diagnostics, control and optimization, as well as other problems have to be studied. The system performance depends upon the validity of induction machine models used in design and optimization, as well as upon control algorithms effectiveness, complexity and real-time implementation capabilities. In this paper, we develop complete mathematical models of three-phase induction machines in the machine (abc) and qd0 variables, synthesize control algorithms, and verify the theoretical developments.
Nonlinear model-based predictive controller with new features including range control, multirate sampling and two degrees of freedom control for PVC batch control/optimization is introduced. The lumped uncertainty des...
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Nonlinear model-based predictive controller with new features including range control, multirate sampling and two degrees of freedom control for PVC batch control/optimization is introduced. The lumped uncertainty design of semi-empirical batch model based on data-mining technologies is described. The controller is complemented by an inferential sensor to reduce the uncertainty about the reactivity of the batch. The knowledge of reactivity is used for batch time optimization under constraints given by shared cooling resources of the plant.
A gain-scheduled controller is designed for regulating the response of a large-scale pneumatic muscle actuator device which has inherently nonlinear dynamics. The tracking paradigm consists of a triangular-wave desire...
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A gain-scheduled controller is designed for regulating the response of a large-scale pneumatic muscle actuator device which has inherently nonlinear dynamics. The tracking paradigm consists of a triangular-wave desired force input signal. To compute the appropriate scheduled gains, a steady state and transient analysis of the pneumatic muscle system's response were conducted within the dynamic range of its operation. Experimental data are presented on the controller designed.
In this paper we first motivate the use of autonomous micro-sensor arrays for use in semiconductor manufacturing. Following this, we discuss three critical issues that must be addressed in order to realize our goal of...
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In this paper we first motivate the use of autonomous micro-sensor arrays for use in semiconductor manufacturing. Following this, we discuss three critical issues that must be addressed in order to realize our goal of building these micro-sensor arrays. We then describe our on-going development efforts of fabricating spatially resolved etch-rate and temperature sensors.
Iterative redesign techniques are proposed to integrate the design of the structural parameters and the active control parameters for vector second-order lumped-parameter structural systems. The objective is to minimi...
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Iterative redesign techniques are proposed to integrate the design of the structural parameters and the active control parameters for vector second-order lumped-parameter structural systems. The objective is to minimize the required active control effort to satisfy given output variance constraints and robust performance constraints. The problem is formulated as an iterative sequential controldesign followed by control/structure redesign. Each step of the iterative algorithm is formulated as a Linear Matrix Inequality (LMI) optimization problem that can be solved effectively using available LMI solvers. Convergence of the proposed algorithm to a solution that provides improved control effort and robust stability compared to the single-step structural and controldesign is guaranteed. Both static state-feedback and dynamic output feedback problems are considered.
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