The article deals with the modeling and predictive control of real hydraulic system using artificial neural network (ANN). For the design of optimal neural network model structure we developed procedures for creation ...
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This paper presents a development of quadriceps muscle models using ANFIS and Fuzzy Logic based on Functional electrical Stimulation (FES). The models inputs parameter consists of stimulation frequency, pulse width, a...
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An adaptive controller for glucose control in Type 1 Diabetes Mellitus (T1DM) subject is presented in this paper. The proposed control model of T1DMsubject involves a known input time-delay, due to the modeling of a s...
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In this article, we are introducing the method of the localization of the deep-ocean pipe end-point. The set of various sensors located along the pipe are used for measuring the data describing the shape of the pipe. ...
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The paper addresses the problem of controller design for an unstable system using modern control methods and shows the difficulties of their implementation into student courses in our Institute. The created MATLAB pro...
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Determining the position of a mobile robot in every time instant from sensor data is the fundamental problem in mobile robotics. This paper considers a localization of holonomous mobile robot solved in this paper usin...
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ISBN:
(纸本)9781479902255
Determining the position of a mobile robot in every time instant from sensor data is the fundamental problem in mobile robotics. This paper considers a localization of holonomous mobile robot solved in this paper using two different approaches: odometry localization and landmark based localization. In both cases the robot is placed in known environment with landmarks whose coordinates were also known. Detecting the landmarks was done by using the Microsoft Kinect camera. For odometry localization four encoders were used. Data acquired from encoders and camera is fused together employing extended Kalman filter in order to get more accurate estimation of position and orientation. Obtained experimental results prove that using encoders without any additional measurements is not enough for getting reliable estimation of robots position. Odometry localization produced an error that accumulates over time, while in the case of landmark based localization, the error is kept inside acceptable limits.
This paper deals with the problems of identification and control of nonlinear helicopter model. The helicopter model is achieved by closed loop identification based on grey-box structure through two steps. The first s...
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ISBN:
(纸本)9781479902255
This paper deals with the problems of identification and control of nonlinear helicopter model. The helicopter model is achieved by closed loop identification based on grey-box structure through two steps. The first step considers experiment design to minimize the number of parameters to be estimated. It employs a genetic algorithm for parameter value estimation. In the second step, a criteria function was defined for evaluation of model fitness. After that, linearization of nonlinear model was performed and linear state-space model was obtained for use in controller synthesis. The main contribution of this paper is design of loop shaping controller which is capable to control a nonlinear helicopter model. Advantage of this controller is its simpler linear structure and simpler synthesis. The quality of obtained helicopter model and effectiveness of proposed controller are verified both in simulation and experimental modes.
This paper addresses the challenges of the disturbance observer (DOB) algorithms faced with highly nonlinear electromechanical systems which are dealing with high resolution and high speed operations. It describes the...
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ISBN:
(纸本)9781479904297
This paper addresses the challenges of the disturbance observer (DOB) algorithms faced with highly nonlinear electromechanical systems which are dealing with high resolution and high speed operations. It describes the synthesis of robust and stable controllers and their applications in controlling azimuth and elevation angles of the helicopter model CE 150 supplied by Humosoft. Description of the helicopter, including its mechanical characteristics and mathematical model, is given in the paper. Tracking error, transient performances, power consumption and motor strains are used for the validation of control quality. Implementation of the control system on the experimental setup is also explained. MATLAB and Simulink are used as tools for developing the simulation model of the helicopter system. Obtained simulations are showing that developed controllers provide significantly improved results even in the presence of unknown and unpredictable inputs (disturbance and noise), unpredictable and unknown dynamics, external forces (torques) and change of the system parameters.
We consider a class of convex feasibility problems where the constraints that describe the feasible set are loosely coupled. These problems arise in robust stability analysis of large, weakly interconnected uncertain ...
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We consider a class of convex feasibility problems where the constraints that describe the feasible set are loosely coupled. These problems arise in robust stability analysis of large, weakly interconnected uncertain systems. To facilitate distributed implementation of robust stability analysis of such systems, we describe two algorithms based on decomposition and simultaneous projections. The first algorithm is a nonlinear variant of Cimmino's mean projection algorithm, but by taking the structure of the constraints into account, we can obtain a faster rate of convergence. The second algorithm is devised by applying the alternating direction method of multipliers to a convex minimization reformulation of the convex feasibility problem. Numerical results are then used to show that both algorithms require far less iterations than the accelerated nonlinear Cimmino algorithm.
The aim of this work was to design and create a multi-threaded computer application for field integral parameters calculation named PikSolver. Scope of the work included project of the system, implementation of mathem...
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The aim of this work was to design and create a multi-threaded computer application for field integral parameters calculation named PikSolver. Scope of the work included project of the system, implementation of mathematical algorithms and developing a computer application running on Windows operating system which performs multi-threaded calculations of integral parameters of the electromagnetic field. The multi-threaded application allows user to conduct multivariant electromagnetic field distribution calculations, determine differential and integral parameters of the electromagnetic field for both the static and the quasi-static field including sinusoidal alternating current excitation. Results of the calculations allow user to compare them to the parameters set by the Finite Element Analysis programs.
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