scholarly journals Segment Drift Control with a Supervision Mechanism for Autonomous Vehicles

Actuators ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 219
Author(s):  
Ming Liu ◽  
Bo Leng ◽  
Lu Xiong ◽  
Yize Yu ◽  
Xing Yang

Stable maneuverability is extremely important for the overall safety and robustness of autonomous vehicles under extreme conditions, and automated drift is able to ensure the widest possible range of maneuverability. However, due to the strong nonlinearity and fast vehicle dynamics occurring during the drift process, drift control is challenging. In view of the drift parking scenario, this paper proposes a segmented drift parking method to improve the handling ability of vehicles under extreme conditions. The whole process is divided into two parts: the location approach part and the drift part. The model predictive control (MPC) method was used in the approach to achieve consistency between the actual state and the expected state. For drift, the open-loop control law was designed on the basis of drift trajectories obtained by professional drivers. The drift monitoring strategy aims to monitor the whole drift process and improve the success rate of the drift. A simulation and an actual vehicle test platform were built, and the test results show that the proposed algorithm can be used to achieve accurate vehicle drift to the parking position.

2015 ◽  
Vol 67 (5) ◽  
Author(s):  
Steven L. Brunton ◽  
Bernd R. Noack

Closed-loop turbulence control is a critical enabler of aerodynamic drag reduction, lift increase, mixing enhancement, and noise reduction. Current and future applications have epic proportion: cars, trucks, trains, airplanes, wind turbines, medical devices, combustion, chemical reactors, just to name a few. Methods to adaptively adjust open-loop parameters are continually improving toward shorter response times. However, control design for in-time response is challenged by strong nonlinearity, high-dimensionality, and time-delays. Recent advances in the field of model identification and system reduction, coupled with advances in control theory (robust, adaptive, and nonlinear) are driving significant progress in adaptive and in-time closed-loop control of fluid turbulence. In this review, we provide an overview of critical theoretical developments, highlighted by compelling experimental success stories. We also point to challenging open problems and propose potentially disruptive technologies of machine learning and compressive sensing.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Wei Guo ◽  
Yanfang Liu ◽  
Jing Zhang ◽  
Xiangyang Xu

Clutch fill control in clutch-to-clutch transmissions influences shift quality considerably. An oncoming clutch should be applied synchronously with the release of an offgoing clutch to shift gear smoothly; therefore, the gap between the piston and clutch plates should be eliminated when the torque capacity is near zero at the end of the clutch fill phase. Open-loop control is typically implemented for the clutch fill because of the cost of pressure sensor. Low control precision causes underfill or overfill to occur, deteriorating shift quality. In this paper, a mathematical model of an electrohydraulic clutch shift control system is presented. Special dynamic characteristic parameters for optimal clutch fill control are subsequently proposed. An automatic method for predicting initial fill control parameters is proposed to eliminate distinct discrepancies among transmissions caused by manufacturing or assembling errors. To prevent underfill and overfill, a fuzzy adaptive control method is proposed, in which clutch fill control parameters are adjusted self-adaptively and continually. Road vehicle test results proved that applying the fuzzy adaptive method ensures the consistency of shift quality even after the transmission’s status is changed.


2020 ◽  
Vol 6 (2) ◽  
pp. 75-84
Author(s):  
Indra Maulidin ◽  
Muliady Muliady ◽  
Yohana Susanthi

Makalah ini memaparkan perancangan dan realisasi sebuah quadcopter menggunakan sensor jarak ultrasonic HC-SR04 agar dapat terbang mengikuti dinding. Algoritma yang digunakan pada realisasi quadcopter adalah algoritma Wall Follower. Fokus pembahasan sistem tersebut adalah mengimplementasikan algoritma Wall Follower pada quadcopter agar dapat terbang navigasi dalam ruang dengan cara mengikuti dinding. Kontrol pergerakan roll menggunakan mode pengontrol ON-OFF Hysteresis sedangkan pada pergerakan yaw digunakan mode pengontrol open-loop. Nilai batas bawah dan batas atas yang digunakan pada kontrol ON-OFF Hysteresis adalah 70 cm dan 100 cm. Hasil pengujian menunjukkan quadcopter berhasil terbang mengikuti dinding sejauh 10,2 m dengan ketinggian maksimum 2,14 m. This paper explained the design and realization of a quadcopter using the HC-SR04 ultrasonic distance sensor so that it can fly following the wall. The algorithm used in the quadcopter design is the Wall Follower algorithm. The focus of the discussion of the system is implementing a Wall Follower algorithm to the quadcopter so that it can navigate following the wall. The roll movement control was using Hysteresis ON-OFF control and the yaw movement control was using open-loop control. The lower and upper limit values that were used in the Hysteresis ON-OFF control are 70 cm and 100 cm. The test results show the quadcopter can fly following the wall as far as 10.2 m and reaches a maximum height of 2,14 m.


1998 ◽  
Author(s):  
C. Truman ◽  
Lenore McMackin ◽  
Robert Pierson ◽  
Kenneth Bishop ◽  
Ellen Chen

Actuators ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 30
Author(s):  
Pornthep Preechayasomboon ◽  
Eric Rombokas

Soft robotic actuators are now being used in practical applications; however, they are often limited to open-loop control that relies on the inherent compliance of the actuator. Achieving human-like manipulation and grasping with soft robotic actuators requires at least some form of sensing, which often comes at the cost of complex fabrication and purposefully built sensor structures. In this paper, we utilize the actuating fluid itself as a sensing medium to achieve high-fidelity proprioception in a soft actuator. As our sensors are somewhat unstructured, their readings are difficult to interpret using linear models. We therefore present a proof of concept of a method for deriving the pose of the soft actuator using recurrent neural networks. We present the experimental setup and our learned state estimator to show that our method is viable for achieving proprioception and is also robust to common sensor failures.


2011 ◽  
Vol 243-249 ◽  
pp. 1528-1535
Author(s):  
Yu Zhao ◽  
Yong Jun Zhou ◽  
Jing Sun ◽  
Jin Tao Tang ◽  
Xu Li

Cable-stayed self-anchored suspension composed bridges have novel structures and aesthetic appearance with complex system and difficulty for design and construction. In order to acquire a better knowledge of the load-carrying capability of this type of bridges, based on a real bridge and the theory of abnormal similarity, a full-bridge scaled down(1:20) test model was built to simulate the whole process of construction. The test results were preferably fit the theoretical calculation value. It can be seen that the design of the bridge was reasonable, and the accuracy of the calculation of finite element model was verified at the same time. The test and the related results can be used as the reference for the test and design of the similar bridges.


2008 ◽  
Author(s):  
Thomas Bifano ◽  
Jason Stewart ◽  
Alioune Diouf

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