Research on S Type Acceleration and Deceleration Time Planning Algorithm with Beginning and End Speed Non-zero

2016 ◽  
Vol 52 (23) ◽  
pp. 199 ◽  
Author(s):  
Liangliang YANG
Keyword(s):  
Acceleration And Deceleration ◽  
Planning Algorithm ◽  
Time Planning ◽  
Deceleration Time

Continuous-scan capability at SSRL and applications to X-ray diffraction

2016 ◽  
Vol 23 (4) ◽  
pp. 909-918 ◽  
Author(s):  
Chunlei Li ◽  
Andrew M. Kiss ◽  
Douglas G. Van Campen ◽  
Alex Garachtchenko ◽  
Yuriy Kolotovsky ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
X Ray Diffraction ◽  
Scanning Method ◽  
X Ray ◽  
Motor Controller ◽  
Acceleration And Deceleration ◽  
Data Points ◽  
Total Measurement Time ◽  
Zno Powder ◽  
Deceleration Time

Typical X-ray diffraction measurements are made by moving a detector to discrete positions in space and then measuring the signal at each stationary position. This step-scanning method can be time-consuming, and may induce vibrations in the measurement system when the motors are accelerated and decelerated at each position. Furthermore, diffraction information between the data points may be missed unless a fine step-scanning is used, which further increases the total measurement time. To utilize beam time efficiently, the motor acceleration and deceleration time should be minimized, and the signal-to-noise ratio should be maximized. To accomplish this, an integrated continuous-scan system was developed at the Stanford Synchrotron Radiation Lightsource (SSRL). The continuous-scan system uses an in-house integrated motor controller system and counter/timer electronics.SPECsoftware is used to control both the hardware and data acquisition systems. The time efficiency and repeatability of the continuous-scan system were tested using X-ray diffraction from a ZnO powder and compared with the step-scan technique. Advantages and limitations of the continuous-scan system and a demonstration of variable-velocity continuous scan are discussed.

Time Optimal Path Planning of Palletizing Robot

2013 ◽  
Vol 470 ◽  
pp. 658-662
Author(s):  
Yong Pan Xu ◽  
Ying Hong
Keyword(s):  
Trajectory Planning ◽  
Optimal Trajectory ◽  
Optimal Path ◽  
Straight Path ◽  
Optimal Path Planning ◽  
Quintic Polynomial ◽  
Time Optimal ◽  
Acceleration And Deceleration ◽  
Planning Algorithm ◽  
Optimal Trajectory Planning

In order to improve the efficiency and reduce the vibration of Palletizing Robot, a new optimal trajectory planning algorithm is proposed. This algorithm is applied to the trajectory planning of Palletizing manipulators. The S-shape acceleration and deceleration curve is adopted to interpolate joint position sequences. Considering constraints of joint velocities, accelerations and jerks, the traveling time of the manipulator is minimized. The joint interpolation confined by deviation is used to approximate the straight path, and the deviation is decreased significantly by adding only small number of knots. Traveling time is solved by using quintic polynomial programming strategy between the knots, and then time-jerk optimal trajectories which satisfy constraints are planned. The results show that the method can avoid the problem of manipulator singular points and improve the palletize efficiency.

scholarly journals The Real-Time Look-Ahead NURBS Curve Interpolation Algorithm

2011 ◽  
Vol 2-3 ◽  
pp. 523-526
Author(s):  
Geng Zhu Wang
Keyword(s):  
Real Time ◽  
Transition Curve ◽  
Interpolation Algorithm ◽  
Nurbs Curve ◽  
The Real ◽  
Look Ahead ◽  
Time Period ◽  
Curve Interpolation ◽  
Acceleration And Deceleration ◽  
Deceleration Time

To ensure a given chord error, through the division of the cusp, the NURBS (Non-Uniform Rational B-Splins) curve is divided into several sections and the speed of the various sections is planned accordingly. The acceleration and deceleration time period is recalculated, which results in a smooth speed transition curve.

Study and Application of Driving Cycle for City Bus

2008 ◽  
Vol 44-46 ◽  
pp. 395-400 ◽  
Author(s):  
Hong Tu Sun ◽  
Xi Geng Song ◽  
T.L. Wang
Keyword(s):  
Fuel Economy ◽  
Real World ◽  
Practical Method ◽  
Driving Cycle ◽  
Average Speed ◽  
City Bus ◽  
Acceleration And Deceleration ◽  
The City ◽  
Deceleration Time

A typical driving cycle reflecting the real-world driving conditions of city bus is developed to show average speed, running time, acceleration and deceleration time, and passengers flow on the city bus with the case study in Dalian. A practical method for the improvement of the fuel economy with the application of the driving cycle for city bus is discussed based on the matching of drive train. The results show the practical value of the methodology on the improvement of the city bus fuel economy.

scholarly journals TEMPORAL ANALYSIS OF THE ACCELERATION AND DECELERATION PHASES FOR VISUAL SACCADES

2004 ◽  
Vol 16 (06) ◽  
pp. 355-362 ◽  
Author(s):  
HSUAN-HUNG LIN ◽  
YUNG-FU CHEN ◽  
TAINSONG CHEN ◽  
TZU-TUNG TSAI ◽  
KUO-HSIEN HUANG
Keyword(s):  
Peak Velocity ◽  
Temporal Analysis ◽  
Shape Parameters ◽  
Saccadic Amplitude ◽  
Acceleration Time ◽  
Deceleration Phase ◽  
Acceleration Amplitude ◽  
Acceleration And Deceleration ◽  
Triangular Profile ◽  
Deceleration Time

Previous studies showed that the relation for product of peak velocity and duration against saccadic amplitude was highly linear correlated. The velocity profile was related as a triangular profile and referred to the saccadic amplitude as an integration of the profile, so that the amplitude is proportional to the product of peak velocity and duration. The saccadic amplitude can be described as a function of peak velocity and duration. In this study, in addition to the triangular profile, the rational power function was applied to explain the above linear relation. The acceleration and deceleration phases can be described, respectively, with the different shape parameters (n1 and n2). Finally, we described the product of peak velocity and acceleration time relating to the acceleration amplitude, and the product of peak velocity and deceleration time relating to the deceleration amplitude. The results show that the acceleration and deceleration phase parameters could be used to accurately delineate the saccadic characteristics.

The Construction of Bus Operation Cycle

2013 ◽  
Vol 291-294 ◽  
pp. 1541-1549
Author(s):  
Mei Chun Peng ◽  
Bin Feng ◽  
Jie Song Zhang ◽  
Quan Zhen Lin
Keyword(s):  
Operation Mode ◽  
Constant Speed ◽  
Small Interval ◽  
Practical Operation ◽  
Acceleration And Deceleration ◽  
Operation Rule ◽  
Vehicle Test ◽  
Operation Cycle ◽  
Operation Characteristics ◽  
Deceleration Time

This paper is involved in the construction of bus operation cycle, through the vehicle test on road to gain the data of bus practical operation mode, using statistical analysis in data processing to construct the operation cycle, and analyze the cycle characteristics. Through the analysis of bus operation characteristics, firstly it was found there were 4 big category modes, namely the idle, constant speed, acceleration and deceleration. Then according to the speed interval of 10 km/h and the acceleration interval of 0.5m/s2, each big category mode including of constant speed, acceleration and deceleration can be divided into small interval modes. Finally, bus operation cycle was constructed, which has 4 big category modes,78 small interval modes. The idle time of the operation cycle constructed constitutes 23.03%, the acceleration time and deceleration time constitute 73.64%, the constant speed time constitutes a little. The average speed is 22.7km/h. The characteristics of bus operation cycle above fits the bus operation rule. The operation cycle modes constructed mainly concentrate on the idle and (20-50) km/h, and acceleration and deceleration range from -1.0 m/s2to 1.0m/s2.

DYNORAII: A REAL-TIME PLANNING ALGORITHM

1993 ◽  
Vol 02 (01) ◽  
pp. 93-115 ◽  
Author(s):  
BABAK HAMIDZADEH ◽  
SHASHI SHEKHAR
Keyword(s):  
Real Time ◽  
Time Complexity ◽  
Response Times ◽  
Dynamic Environments ◽  
Stopping Criterion ◽  
Routing Problem ◽  
Average Case ◽  
Total Cost ◽  
Planning Algorithm ◽  
Time Planning

There has been a recent rise in research on real-time planning algorithms. Most of these algorithms address either the issue of response-time constraints or the issue of dynamic environments. We propose a new real-time planning algorithm, DYNORAII, to address both of these issues simultaneously. DYNORAII is structured as a sequence of “partial planning and execution” cycles to avoid obsolescence of planned solutions at the time of execution. DYNORAII uses a stopping criterion to balance planning cost and execution cost to achieve near optimal response times. DYNORAII was used for the routing problem to optimize total cost in both static and dynamic environments. It shows better average-case time complexity than traditional real-time algorithms.

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