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 Optimal Control (3)
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Articles 1  7 of 7
FullText Articles in Mechanical Engineering
Composite Structures Using Asphalt Based Roofing Scrap Materials: Eiera  Final Report, V. J. Flanigan, K. Chandrashekhara, Susan L. Murray
Composite Structures Using Asphalt Based Roofing Scrap Materials: Eiera  Final Report, V. J. Flanigan, K. Chandrashekhara, Susan L. Murray
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The uses of recycled materials in composites provide the potential for large cost savings and a solution to the evergrowing disposal problem. Shingles contain petroleum based binders and fillers, which used as a valuable resource in composite production. Composites offer inherent advantages over traditional materials in regard to corrosion resistance, design flexibility and extended service life. Use of scraproofing shingles as a core material in glass fiber reinforced composite materials offer potential low cost composite products such as sound barrier system, railroad ties and other building materials including blocks. In the present work, processes have been developed for shredding scrap ...
Analytical Derivation Of A CoupledCircuit Model Of A ClawPole Alternator With Concentrated Stator Windings, Hua Bai, Steven Pekarek, Jerry L. Tichenor, Walter Eversman, Duane J. Buening, Gregory R. Holbrook, Michael L. Hull, Ronald J. Krefta, Steven J. Shields
Analytical Derivation Of A CoupledCircuit Model Of A ClawPole Alternator With Concentrated Stator Windings, Hua Bai, Steven Pekarek, Jerry L. Tichenor, Walter Eversman, Duane J. Buening, Gregory R. Holbrook, Michael L. Hull, Ronald J. Krefta, Steven J. Shields
Mechanical and Aerospace Engineering Faculty Research & Creative Works
A lumpedparameter coupledcircuit model of a clawpole alternator is derived. To derive the model, analytical techniques are used to define a threedimensional (3D) Fourierseries representation of the airgap flux density. Included in the series expansion are the harmonics introduced by rotor saliency, concentrated stator windings, and stator slots. From the airgap flux density waveform, relatively simple closedform expressions for the stator and rotor self and mutualinductances are obtained. The coupledcircuit model is implemented in the simulation of an alternator/rectifier system using a commercial statemodelbased circuit analysis program. Comparisons with experimental results demonstrate the accuracy of the model in predicting ...
A New Filtering Technique For A Class Of Nonlinear Systems, Ming Xin, S. N. Balakrishnan
A New Filtering Technique For A Class Of Nonlinear Systems, Ming Xin, S. N. Balakrishnan
Mechanical and Aerospace Engineering Faculty Research & Creative Works
In this paper, a new nonlinear filtering technique (θD filter) is presented. This filter is derived by constructing the dual of a new nonlinear regulator control technique, θD approximation which involves approximate solution to the HamiltonJacobiBellman equation. The structure of this filter is similar to the state dependent riccati equation filter (SDREF). However, this method does not need timeconsuming online computation of the algebraic Riccati equation at each sample time compared with the SDREF. By manipulating the perturbation terms both the asymptotic stability and optimality properties can be obtained. A simple pendulum problem is investigated to demonstrate the effectiveness of ...
StateConstrained Agile Missile Control With AdaptiveCriticBased Neural Networks, Dongchen Han, S. N. Balakrishnan
StateConstrained Agile Missile Control With AdaptiveCriticBased Neural Networks, Dongchen Han, S. N. Balakrishnan
Mechanical and Aerospace Engineering Faculty Research & Creative Works
In this study, we develop an adaptivecriticbased controller to steer an agile missile that has a constraint on the minimum flight Mach number from various initial Mach numbers to a given final Mach number in minimum time while completely reversing its flightpath angle. This class of bounded state space, free final time problems is very difficult to solve due to discontinuities in costates at the constraint boundaries. We use a twoneuralnetwork structure called "adaptive critic" in this study to carry out the optimization process. This structure obtains an optimal controller through solving optimal controlrelated equations resulting from a Hamiltonian formulation ...
A New Method For Suboptimal Control Of A Class Of Nonlinear Systems, Ming Xin, S. N. Balakrishnan
A New Method For Suboptimal Control Of A Class Of Nonlinear Systems, Ming Xin, S. N. Balakrishnan
Mechanical and Aerospace Engineering Faculty Research & Creative Works
In this paper, a new nonlinear control synthesis technique (θ  D approximation) is presented. This approach achieves suboptimal solutions to nonlinear optimal control problems in the sense that it solves the HamiltonJacobiBellman (HJB) equation approximately by adding perturbations to the cost function. By manipulating the perturbation terms both semiglobally asymptotic stability and suboptimality properties can be obtained. The convergence and stability proofs are given. This method overcomes the large control for large initial states problem that occurs in some other Taylor expansion based methods. It does not need timeconsuming online computations like the state dependent Riccati equation (SDRE) technique. A ...
Proper Orthogonal Decomposition Based Feedback Optimal Control Synthesis Of Distributed Parameter Systems Using Neural Networks, Radhakant Padhi, S. N. Balakrishnan
Proper Orthogonal Decomposition Based Feedback Optimal Control Synthesis Of Distributed Parameter Systems Using Neural Networks, Radhakant Padhi, S. N. Balakrishnan
Mechanical and Aerospace Engineering Faculty Research & Creative Works
A new method for optimal control design of distributed parameter systems is presented in this paper. The concept of proper orthogonal decomposition is used for the model reduction of distributed parameter systems to form a reduced order lumped parameter problem. The optimal control problem is then solved in the time domain, in a state feedback sense, following the philosophy of ''adaptive critic'' neural networks. The control solution is then mapped back to the spatial domain using the same basis functions. Numerical simulation results are presented for a linear and nonlinear onedimensional heat equation problem in an infinite time regulator framework.
Experimental Implementation Of AdaptiveCritic Based Infinite Time Optimal Neurocontrol For A Heat Diffusion System, Prashant Prabhat, S. N. Balakrishnan, Dwight C. Look
Experimental Implementation Of AdaptiveCritic Based Infinite Time Optimal Neurocontrol For A Heat Diffusion System, Prashant Prabhat, S. N. Balakrishnan, Dwight C. Look
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Recently the synthesis methodology for the infinite time optimal neurocontrollers for PDE systems in the framework of adaptivecritic design has been developed. In this paper, first we model an experimental setup representing one dimensional heat diffusion problems. Then we synthesize and implement an adaptivecritic based neurocontroller for online temperature profile control of the experimental setup.