This paper presents the Model Predictive controller design process when an unknown input observer provides measured disturbance form unmeasured one. Instead of using an unmeasured disturbance dynamic implemented into ...
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In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasised by the European initiative Manufuture, two a...
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In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasised by the European initiative Manufuture, two additional requirements, i.e., the real-timeness and cooperativeness of production structures are also outlined in the paper, which are of high and increasing importance. The paper highlights the main results of a national R&D project in Hungary on Digital Enterprises, Production Networks, and the main concept of a new, just started, national research project VITAL: Real-time Cooperative Enterprises.
Frequent mine gas incident in china fully shows there must be many undiscovered essential factors in all previous gas incident investigations. Exploring a new analysis approach is vital to prevent and control mine gas...
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Integrated virtual reality with Intelligent Tutoring System, a multi-agent architecture was proposed for intelligent virtual training system (IVTS) for mine safety training. In order to make sure IVTS agent's task...
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To perform fault studies (e.g., fault detection, diagnosis, and mitigation) via Internet for a remote automation line, operation time is an important feature/symptom for human supervisors. This paper introduces the ap...
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To perform fault studies (e.g., fault detection, diagnosis, and mitigation) via Internet for a remote automation line, operation time is an important feature/symptom for human supervisors. This paper introduces the application of timed Petri nets (TPN) to model a high-throughput screening (HTS) process, and extends the timed transition based on the dynamics of the automated process. This paper describes the design methodologies of TPN to model the dynamics of the HTS process with and without anomalies. Finally, both healthy and faulty conditions of an automated biological/chemical screening line are simulated in Matlab/Simulink to demonstrate the effectiveness of the proposed TPN modelling
The extremum control of the high power induction traction motor is justified by the possibility to operate with minimum electrical power/energy, especially by partial load. The extremum control system is usually overl...
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The extremum control of the high power induction traction motor is justified by the possibility to operate with minimum electrical power/energy, especially by partial load. The extremum control system is usually overlapped to the speed (or torque) control system and is valid if a steady state, partial load of the operation is established. The authors analyze the problem of various modes of operation under reduced disturbances. Also, the analysis deals with the problem of the limits of the stable behavior of the extremum control system
This paper presents ongoing work focused on dynamic reconfiguration of industrial automation systems as a part of their total life cycle. Modification of the control logic has to be enabled at runtime and without any ...
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This paper presents ongoing work focused on dynamic reconfiguration of industrial automation systems as a part of their total life cycle. Modification of the control logic has to be enabled at runtime and without any disturbances of related applications. The epsivCEDAC engineering cycle for dynamic system evolution is based on the use of an IEC 61499 reconfiguration application responsible for the dynamic transformation of the program during its execution. The verification of this evolution step takes the central role in this engineering cycle. The paper discusses the general requirements for this kind of verification. Especially the capabilities of the automation system - the used hardware and software - form a major point. The paper describes the basic concepts and ongoing work regarding the verification of downtimeless system evolution.
Because of the largely nonlinear nature of the problem, controlling vehicles implies complicated control algorithms that require the use of embedded computing on board. Solving a control problem in this field involves...
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ISBN:
(纸本)9789634209683
Because of the largely nonlinear nature of the problem, controlling vehicles implies complicated control algorithms that require the use of embedded computing on board. Solving a control problem in this field involves numerous tasks from the modeling and identification of the vehicle object through the control design based upon several control paradigms (e.g. optimal, robust, linear, LPV, or nonlinear design), to the implementation of the controller in on-board electronics. For prototyping purposes a MATLAB/Simulink environment of Math-works complemented with a variety of the real/time and embedded control design tools has proved to be advantageous. A small-size indoor quadrotor helicopter has been selected as a platform to find the correct methodology, to explore the capabilities of the applicable tools, by covering the full design and implementation process as well as ensuring low implementation costs and risk-free test environment. The quadrotor helicopter uses brush-less DC motors as actuators, an internal sensor module is used to get measurements of its movement while a vision-based indoor position system provides its exact position. The control is realized by a Freescale MPC555 microcomputer, which is equipped with high level development tools in MATLAB. The embedded control is developed on the basis of the nonlinear model of the quadrotor helicopter by applying the technique of back-stepping.
Underwater vehicles are highly nonlinear and complex systems, that makes designing autopilots extremely difficult. This paper presents autotuning as a method for tuning parameters of a micro-ROV autopilot. The main be...
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Underwater vehicles are highly nonlinear and complex systems, that makes designing autopilots extremely difficult. This paper presents autotuning as a method for tuning parameters of a micro-ROV autopilot. The main benefit of this procedure is that the model of the process does not have to be known. Autotuning is often used for industrial processes but not on marine vessels. This procedure, which is performed in closed-loop, is completely automated and enables the operator to retune an autopilot whenever ROV performance is degraded (due to different operating points, tether influence, currents, etc.). In this article we use already known different autotuning recommendations (primarily designed for type 0 processes) with some modifications which we recommend for micro-ROVs. We also give results of using different types of PID controllers, whose parameters are being tuned. A real life demonstration on a VideoRay Pro II micro-ROV is provided
The nonholonomic characteristic of space robot is used to plan the path of the manipulator, by whose motion the base attitude and the manipulator joints attain the desired states. Firstly, the functions of the joint a...
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The nonholonomic characteristic of space robot is used to plan the path of the manipulator, by whose motion the base attitude and the manipulator joints attain the desired states. Firstly, the functions of the joint angles are parameterized by sinusoidal functions. Secondly, the objective function is defined according to the accuracy requirement and the constraints of the system state. Finally, genetic algorithm (GA) is used to search the global optimal solution of the parameters. Comparing with other methods, our approach has a number of advantages: 1) The kinematic and dynamic constraints of the manipulator are taken into consideration in the planning process; 2) The dynamic singular point doesn't affect the algorithm since only the direct kinematic equations are utilized; 3) The planned path is very smooth and more applicable in controlling the manipulator; 4) The state converges to the global optimal values. The simulation results verify the method.
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