The main objective of this paper is to perform a robust controller design using discrete-time sliding mode control (DSMC). In the control scheme, two-degree-of-freedom (2-DOF) control strategy turns the DSMC, which ge...
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ISBN:
(纸本)9781479978632
The main objective of this paper is to perform a robust controller design using discrete-time sliding mode control (DSMC). In the control scheme, two-degree-of-freedom (2-DOF) control strategy turns the DSMC, which generally utilized state feedback into output feedback controller. The designed control scheme is considered with feedback and feedforward combination by implementing the zero phase error tracking control (ZPETC), which particularly intended for the nonminimum phase electro-hydraulic actuator (EHA) system application. In the experimental works, a sinusoidal trajectory with different frequencies is employed to assess the DSMC performance under nonlinear and uncertain condition. Experimental results show the DMSC with perfect tracking control approach is capable to reduce the phase lag occurred due to nonlinear phenomenon. The proposed controller also is highly robust under various points of trajectories and significantly shows enhancement in tracking control performance as compared to the conventional controllers.
Up to date methods and approaches in face identification field heavily depend on facial characteristics;such as location of eyes, length of nose and mouth. Ambient lightings have much influenced the visibility of thes...
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In this paper, a closer look at the underlying computer code of the well-known Tennessee Eastman Process model is taken. Since its introduction in the 1990s typical simulation software, e.g. MATLAB, which is used to s...
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In this paper, a closer look at the underlying computer code of the well-known Tennessee Eastman Process model is taken. Since its introduction in the 1990s typical simulation software, e.g. MATLAB, which is used to simulate the process model, has changed. Thus the original program flow devised by Downs & Vogel no longer holds. This results in problems regarding the repeatability of simulation results. This problem and its cause are considered in the following and a solution in terms of a modified code is presented. Furthermore, some additional changes are discussed, widening the useability of the simulation model (e.g. lower simulation runtime, additional process measurements).
This work concerns with the improvement of industrial process performance by integration of MES and automation tools. The strength of MES and weakness of paper work system have been explained. Managing the relations b...
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ISBN:
(纸本)9781509002764
This work concerns with the improvement of industrial process performance by integration of MES and automation tools. The strength of MES and weakness of paper work system have been explained. Managing the relations between production execution with other effective activities (e.g. quality, maintenance, inventory ...etc.) in production management has been introduced. The aim of the present work is to reduce the gap between manufactures expertise and IT expertise and also reduces paper work drawbacks and its side effect on production execution management operation. A design of MES has been proposed and implemented over El-Araby Plastic Injection Molding (PIM) factory as a case study. The results show that MES is beneficial.
This paper presents a quadratic neural unit with error backpropagation learning algorithm to classify electrocardiogram arrhythmia disease. The electrocardiogram arrhythmia classification scheme consists of data acqui...
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control of robot locomotion profits from the use of pre-planned trajectories. This paper presents a way to generalize globally optimal and dynamically consistent trajectories for cyclic bipedal walking. A small task-s...
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control of robot locomotion profits from the use of pre-planned trajectories. This paper presents a way to generalize globally optimal and dynamically consistent trajectories for cyclic bipedal walking. A small task-space consisting of stride-length and step time is mapped to spline parameters which fully define the optimal joint space motion. The paper presents the impact of different machine learning algorithms for velocity and torque optimal trajectories with respect to optimality and feasibility. To demonstrate the usefulness of the trajectories, a control approach is presented that allows general walking including transitions between points in the task-space.
This paper deals with the thickness control of single cold rolling mills and with the combined thickness and tension control of tandem cold rolling mills. It is shown that PI(D) controllers can be effectively replaced...
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This paper deals with the thickness control of single cold rolling mills and with the combined thickness and tension control of tandem cold rolling mills. It is shown that PI(D) controllers can be effectively replaced by the predictive functional control (PFC), which can be easily implemented and tuned under industrial automation environments. The rolling mill was first physically modelled based on literature data. Data required for the model-based control are identified from a physical model of the processes. Simulations show the advantage of the PFC controller over the PI control.
In this contribution parameterizations of constant state feedback controllers are given that assign the closed-loop eigenvalues of a linear system to predefined locations and encompass, besides the degrees of freedom ...
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In this contribution parameterizations of constant state feedback controllers are given that assign the closed-loop eigenvalues of a linear system to predefined locations and encompass, besides the degrees of freedom due to the controller, freedom in the choice of system parameters. These parameterizations are subsequently used in an optimization procedure in order to simultaneously obtain a controller and assign the degrees of freedom available in system design for robust and minimum gain eigenvalue assignment.
This paper is devoted to a consistent numerical method for Optimal control Problems (OCPs) associated with a specific class of nonlinear systems. We study dynamic models equipped with the piecewise constant (fixed-lev...
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In this paper, mechanical design and control of an exoskeleton robot for shoulder rehabilitation after stroke are presented. Initially, mechanical design of a new 3 degrees of freedom (DOF) exoskeleton robot for shoul...
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ISBN:
(纸本)9781467372350
In this paper, mechanical design and control of an exoskeleton robot for shoulder rehabilitation after stroke are presented. Initially, mechanical design of a new 3 degrees of freedom (DOF) exoskeleton robot for shoulder joint rehabilitation is presented. All robot measurements are based on the properties of upper limb of an adult person. A new open circular mechanism is proposed for the third joint. Afterwards, direct and inverse kinematics, Jacobian matrix, singular points, and dynamics of the robot are presented. In order to study the ability of the robot to follow the optimized trajectories, sliding mode controller (SMC) is proposed to track desired trajectories. In most rehabilitation robots, the attention is on robot's mechanical design, so linear controllers are used to control the robot. However, rehabilitation robots are non-linear in nature and non-linear control methods are required that can reject uncertainties and are resistant to parameter changes. SMC is robust due to its nonlinear nature, and can reject uncertainties and disturbances applying on the system such as patient's hand tremor. The parameters of the SMC are tuned using Genetic Algorithm (GA). The main advantage of this robot compared to similar systems are being low weight, having a special mechanism for third joint that solves the known issues associated with long wiring and closed mechanisms, allowing translational degrees of freedom of the shoulder, ease of use, comfort for the patient and the tracking performance of the controllers.
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