Design Optimization of a Control System with a Variable Inertia Mechanism to Improve Shift Feeling in a Manual Transmission

2015 ◽  
Author(s):  
Kijong Park ◽  
Hongsuk Suh ◽  
Bonggyu Son
Keyword(s):  
Control System ◽  
Design Optimization ◽  
Manual Transmission

scholarly journals Development of Control System for Automated Manual Transmission of 45-kW Agricultural Tractor

2020 ◽  
Vol 10 (8) ◽  
pp. 2930 ◽  
Author(s):  
Wan-Soo Kim ◽  
Yong-Joo Kim ◽  
Yeon-Soo Kim ◽  
Seung-Yun Baek ◽  
Seung-Min Baek ◽  
...  
Keyword(s):  
Control System ◽  
High Efficiency ◽  
Position Control ◽  
Experimental Tests ◽  
Manual Transmission ◽  
Reduction Gear ◽  
Shift Control ◽  
Automated Manual Transmission ◽  
Agricultural Tractors ◽  
Agricultural Tractor

This study aims to develop and evaluate an automated manual transmission (AMT) for agricultural tractors with high efficiency and high convenience by using electric actuators. An AMT system to control manual-type shuttle gearboxes and transmissions for tractors is developed by adding a shuttle shifting actuator, a clutch actuator, and a control system to a conventional manual transmission (MT). The clutch actuator is designed using an electric motor and a reduction gear. The AMT control system is developed and experimental tests are conducted to evaluate the performance of the AMT. The results of the performance of the actuator position control demonstrate that the shuttle shifting actuator and clutch actuator are controlled appropriately, achieving a maximum overshoot of less than 5% and 0%, a settling time of less than 0.500 s and 1.50 s, and a steady-state error of less than 1% and 1%, respectively. The performance of the automatic forward and reverse control demonstrates a shift control time of less than 2.50 s and target revolutions per minute (RPM) reaching time of less than 3.00 s. Thus, AMT systems for tractors can be easily developed by applying shuttle shifting actuators, clutch actuators, and a control system to conventional manual transmissions.

scholarly journals Optimization of the ASPIRE Spherical Parallel Rehabilitation Robot Based on Its Clinical Evaluation

2021 ◽  
Vol 18 (6) ◽  
pp. 3281
Author(s):  
Paul Tucan ◽  
Calin Vaida ◽  
Ionut Ulinici ◽  
Alexandru Banica ◽  
Alin Burz ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Control System ◽  
Design Optimization ◽  
Clinical Evaluation ◽  
Neurological Disorders ◽  
Parallel Robot ◽  
Rehabilitation Robot ◽  
Rehabilitation System ◽  
Overall Efficiency ◽  
Clinician Acceptance

The paper presents the design optimization of the ASPIRE spherical parallel robot for shoulder rehabilitation following clinical evaluation and clinicians’ feedback. After the development of the robotic structure and the implementation of the control system, ASPIRE was prepared for clinical evaluation. A set of clinical trials was performed on 24 patients with different neurological disorders to obtain the patient and clinician acceptance of the rehabilitation system. During the clinical trials, the behavior of the robotic system was closely monitored and analyzed in order to improve its reliability and overall efficiency. Along with its reliability and efficiency, special attention was given to the safety characteristics during the rehabilitation task.

A Robust Design Optimization Framework for Systematic Model-Based Calibration of Engine Control Systems

2015 ◽  
Vol 137 (11) ◽  
Author(s):  
Hoseinali Borhan ◽  
Edmund Hodzen
Keyword(s):  
Control System ◽  
Design Optimization ◽  
Robust Design ◽  
Closed Loop ◽  
Optimization Technique ◽  
Loop System ◽  
Robust Design Optimization ◽  
Engine Control ◽  
Closed Loop System ◽  
Model Based

In this paper, a systematic model-based calibration framework basing on robust design optimization technique is developed for engine control system. In this framework, the control system is calibrated in an optimization fashion where both performance and robustness of the closed-loop system to uncertainties are optimized. The proposed calibration process has three steps: in the first step, the optimal performance of the system at the nominal conditions, where the effects of uncertainties are ignored, is computed by formulation of the controller calibration as an optimization problem. The capabilities of the controller are fully explored at nominal conditions. In the second step, the robustness and sensitivity of a selected control design to the system uncertainties are analyzed using Monte Carlo simulation. In the third step, robust design optimization is applied to optimize both performance and robustness of the closed-loop system to the uncertainties. The robustness capabilities of the controller are fully explored and the one that satisfies both performance and robustness requirements is selected. This process is implemented for the calibration of an advanced diesel air path control system with a variable geometry turbocharger (VGT) and dual loop exhaust gas recirculation (EGR) architecture.

Effective Control System of the Enterprise: Statement of Design Problem

2018 ◽  
Vol 5 (6) ◽  
pp. 33-36 ◽  
Author(s):  
Светлана Гришина ◽  
Svetlana Grishina
Keyword(s):  
System Theory ◽  
Control System ◽  
Design Optimization ◽  
Design Process ◽  
Design Problem ◽  
Optimization Problems ◽  
Effective Control ◽  
Complex Approach

The article shows that by designing an organization control system, it is most natural to use a systemic complex approach and well-developed methods of system theory. By generalization of known methods, it is concluded that in the formulation of optimization problems, difficulties arise associated with the complete formalization of the design process in the presence of conflicting requirements for the system, questions of design optimization, and the technical implementation of the resulting solution. It is proposed to build not an optimal, but technically acceptable system, such an approach is realized by setting the problem on the basis of the complexity principle.

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