Performance Comparison of Discrete Kalman Filter and Dynamic Programming Technique for Pavement Roughness Identification

2020 ◽  
pp. 121-130
Author(s):  
O. A. Shereena ◽  
C. G. Krishnanunni ◽  
B. N. Rao
Keyword(s):  
Dynamic Programming ◽  
Kalman Filter ◽  
Performance Comparison ◽  
Programming Technique ◽  
Pavement Roughness

scholarly journals Dynamic Operation Management of a Renewable Microgrid including Battery Energy Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Shaozhen Jin ◽  
Zhizhong Mao ◽  
Hongru Li ◽  
Wenhai Qi
Keyword(s):  
Dynamic Programming ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Main Idea ◽  
Optimal Operation ◽  
Optimal Control Strategy ◽  
Programming Technique ◽  
Battery Energy Storage ◽  
Comparison Results ◽  
Battery Energy

In this paper, a novel dynamic programming technique is presented for optimal operation of a typical renewable microgrid including battery energy storage. The main idea is to use the scenarios analysis technique to proceed the uncertainties related to the available output power of wind and photovoltaic units and dynamic programming technique to obtain the optimal control strategy for a renewable microgrid system in a finite time period. First, to properly model the system, a mathematical model including power losses of the renewable microgrid is established, where the uncertainties due to the fluctuating generation from renewable energy sources are considered. Next, considering the dynamic power constraints of the battery, a new performance index function is established, where the Lagrange multipliers and interior point method will be presented for the equality and inequality operation constraints. Then, a feedback control scheme based on the dynamic programming is proposed to solve the model and obtain the optimal solution. Finally, simulation and comparison results are given to illustrate the performance of the presented method.

Carrier Tracking Performance Comparison of Standards and the Square-Root Kalman Filter

2012 ◽  
Vol 239-240 ◽  
pp. 1188-1193
Author(s):  
Shao Jie Ni ◽  
Jing Pang ◽  
Xiao Mei Tang ◽  
Fei Xue Wang
Keyword(s):  
Kalman Filter ◽  
Engineering Design ◽  
Performance Comparison ◽  
Tracking Performance ◽  
Square Root ◽  
Signal Tracking ◽  
Tracking Method ◽  
High Carrier ◽  
Comparison Of Standards ◽  
Lock In

In order to solve the problem of loosing lock in weak GPS signal tracking, Kalman filter based carrier tracking method is presented.In this paper,two methods to track the GNSS carrier are compared,one is base on normal Kalman filter, another is based on square-root Kalman filter. The paper analyzes the under performance in the low carrier-to-noise ratio, and the expenditure of the actual project exists, but the high carrier to noise less discussed than the case will appear.The analyse and simulation result can be used to guide the engineering design of the GNSS receiver.

Optimal distribution transformer sizing in a harmonic involved load environment via dynamic programming technique

Energy ◽  
2017 ◽  
Vol 120 ◽  
pp. 92-105 ◽  
Author(s):  
Ehsan Hajipour ◽  
Maryam Mohiti ◽  
Nima Farzin ◽  
Mehdi Vakilian
Keyword(s):  
Dynamic Programming ◽  
Optimal Distribution ◽  
Distribution Transformer ◽  
Programming Technique

Performance Comparison of Inertial Measurement Units Fused With Odometry in Extended Kalman Filter for Dead-Reckoning Navigation

2019 ◽  
Author(s):  
Kevin Carey ◽  
Benjamin Abruzzo ◽  
David P. Harvie ◽  
Christopher Korpela
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Autonomous Vehicle ◽  
Dead Reckoning ◽  
Ground Truth ◽  
Performance Comparison ◽  
Inertial Measurement Units ◽  
Ground Vehicle ◽  
Inertial Measurement ◽  
Measurement Units

Abstract This paper aims to aid robot and autonomous vehicle designers by providing a comparison between four different inertial measurement units (IMUs) which could be used to aid in vehicle navigation in a GPS-denied or inertial-only scenario. A differential-drive ground vehicle was designed to carry the multiple different IMUs, mounted coaxially, to enable direct comparison of performance in a planar environment. The experiments focused on the growth of pose error of the ground vehicle originating from the odometry senors and the IMUs. An extended Kalman Filter was developed to fuse the odometry and inertial measurements for this comparison. The four specific IMUs evaluated were: CNS 5000, Xsens 300, Microstrain GX5-35, and Phidgets 1044 and the ground truth for experiments was provided by an Optitrack motion capture system (MCS). Finally, metrics for choosing IMUs, merging cost and performance considerations, are proposed and discussed. While the CNS 5000 has the best objective error specifications, based on these metrics the Xsens 300 exhibits the best absolute performance while the Phidgets 1044 provides the best performance-per-dollar.

An Array Nonlinear Kalman Tracker for Indoor GPS Signal

2010 ◽  
Vol 44-47 ◽  
pp. 3864-3868
Author(s):  
Ji Cheng Ding ◽  
Lin Zhao ◽  
Jia Liu ◽  
Shuai He Gao
Keyword(s):  
Dynamic Programming ◽  
Kalman Filter ◽  
Detection Probability ◽  
Viterbi Algorithm ◽  
Signal Quality ◽  
Tracking Loop ◽  
Central Difference ◽  
Signal Tracking ◽  
High Detection ◽  
Central Difference Kalman Filter

To implement indoor GPS signal tracking in standalone mode when the tracking loop is unlocked and data bit edge is unknown, the paper develops a modified Viterbi Algorithm (MVA) based on dynamic programming, and it was applied for GPS bit synchronization. Besides, two combination carrier tracking schemes based on Central Difference Kalman Filter (CDKF) and MVA module were designed for indoor GPS signal. The testing results indicate that the methods can successful detect bit edge position with high detection probability whether or not the tracking loop is locked. The co-operational tracking scheme is still able to perform when the signal quality deteriorate.

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