A Design of Autopilot Based on the Feedback Linearization Optimal Heading Control Algorithm

2019 ◽  
Vol 12 (1) ◽  
pp. 133-148
Author(s):  
Zhipeng Sun ◽  
Qin Wu ◽  
Xiaogang Li ◽  
Hongbo Wang
Keyword(s):  
Feedback Linearization ◽  
Control Algorithm ◽  
Control Unit ◽  
Physical Situation ◽  
Steering Control ◽  
A Algorithm ◽  
Operation Speed ◽  
Heading Control ◽  
The Impact ◽  
Rudder Angle

This article designs a heading control autopilot which contains three parts: a control and display unit (CDU); a steering control unit (SCU) and a algorithm control unit (ACU), adopting the feedback linearization optimal control algorithm in the ACU. The characteristic of this algorithm is that it combines the nonlinear disturbance existing in the ship motion and the ship's feedback rudder angle into a new rudder angle, so that the impact disturbance could be eliminated. This autopilot has completed closed-loop experiments in the lab under the semi-physical situation. According to the test results, the autopilot hardware circuit has high stability, as well as fast operation speed. The control algorithm has the merits of a lower steering number and strong anti-jamming capability.

scholarly journals Research of Active Power Filter Modeling with Grid Impedance in Feedback Linearization and Quasi-Sliding Mode Control

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Zeyu Shi ◽  
Yingpin Wang ◽  
Yunxiang Xie ◽  
Lanfang Li ◽  
Xiaogang Xu
Keyword(s):  
Sliding Mode Control ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Active Power Filter ◽  
Active Power ◽  
Pi Control ◽  
Power Filter ◽  
Mode Control ◽  
Grid Impedance

Active power filter (APF) is the most popular device in regulating power quality issues. Currently, most literatures ignored the impact of grid impedance and assumed the load voltage is ideal, which had not described the system accurately. In addition, the controllers applied PI control; thus it is hard to improve the compensation quality. This paper establishes a precise model which consists of APF, load, and grid impedance. The Bode diagram of traditional simplified model is obviously different with complete model, which means the descriptions of the system based on the traditional simplified model are inaccurate and incomplete. And then design exact feedback linearization and quasi-sliding mode control (FBL-QSMC) is based on precise model in inner current loop. The system performances in different parameters are analyzed and dynamic performance of proposed algorithm is compared with traditional PI control algorithm. At last, simulations are taken in three cases to verify the performance of proposed control algorithm. The results proved that the proposed feedback linearization and quasi-sliding mode control algorithm has fast response and robustness; the compensation performance is superior to PI control obviously, which also means the complete modeling and proposed control algorithm are correct.

scholarly journals When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method

2020 ◽  
Vol 8 (1) ◽  
pp. 209-228
Author(s):  
Layla Parast ◽  
Priscillia Hunt ◽  
Beth Ann Griffin ◽  
David Powell
Keyword(s):  
Los Angeles ◽  
Control Method ◽  
Control Unit ◽  
Treated Group ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Synthetic Control Method ◽  
The Mean ◽  
The Impact

AbstractIn some applications, researchers using the synthetic control method (SCM) to evaluate the effect of a policy may struggle to determine whether they have identified a “good match” between the control group and treated group. In this paper, we demonstrate the utility of the mean and maximum Absolute Standardized Mean Difference (ASMD) as a test of balance between a synthetic control unit and treated unit, and provide guidance on what constitutes a poor fit when using a synthetic control. We explore and compare other potential metrics using a simulation study. We provide an application of our proposed balance metric to the 2013 Los Angeles (LA) Firearm Study [9]. Using Uniform Crime Report data, we apply the SCM to obtain a counterfactual for the LA firearm-related crime rate based on a weighted combination of control units in a donor pool of cities. We use this counterfactual to estimate the effect of the LA Firearm Study intervention and explore the impact of changing the donor pool and pre-intervention duration period on resulting matches and estimated effects. We demonstrate how decision-making about the quality of a synthetic control can be improved by using ASMD. The mean and max ASMD clearly differentiate between poor matches and good matches. Researchers need better guidance on what is a meaningful imbalance between synthetic control and treated groups. In addition to the use of gap plots, the proposed balance metric can provide an objective way of determining fit.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

scholarly journals Design of Magnetic Flux Feedback Controller in Hybrid Suspension System

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Wenqing Zhang ◽  
Jie Li ◽  
Kun Zhang ◽  
Peng Cui
Keyword(s):  
Magnetic Flux ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Suspension System ◽  
Magnetic Suspension ◽  
Magnetic Flux Density ◽  
Stable Suspension ◽  
State Variable ◽  
Suspension Control ◽  
National University

Hybrid suspension system with permanent magnet and electromagnet consumes little power consumption and can realize larger suspension gap. But realizing stable suspension of hybrid magnet is a tricky problem in the suspension control sphere. Considering from this point, we take magnetic flux signal as a state variable and put this signal back to suspension control system. So we can get the hybrid suspension mathematical model based on magnetic flux signal feedback. By application of MIMO feedback linearization theory, we can further realize linearization of the hybrid suspension system. And then proportion, integral, differentiation, magnetic flux density B (PIDB) controller is designed. Some hybrid suspension experiments have been done on CMS04 magnetic suspension bogie of National University of Defense Technology (NUDT) in China. The experiments denote that the new hybrid suspension control algorithm based on magnetic flux signal feedback designed in this paper has more advantages than traditional position-current double cascade control algorithm. Obviously, the robustness and stability of hybrid suspension system have been enhanced.

scholarly journals A mimicking technique of back pressure in the hardware-in-the-loop simulation of a fuel control unit

SIMULATION ◽  
2019 ◽  
Vol 96 (4) ◽  
pp. 375-385 ◽  
Author(s):  
Yuan Yuan ◽  
Zhiwen Zhao ◽  
Tianhong Zhang
Keyword(s):  
Control Unit ◽  
Back Pressure ◽  
Hardware In The Loop ◽  
Fuel System ◽  
Working Process ◽  
Aero Engine ◽  
Aero Engines ◽  
Performance Results ◽  
The Impact ◽  
Hil Simulation

In the hardware-in-the-loop (HIL) simulation of the fuel control unit (FCU) for aero-engines, the back pressure has a great impact on the metered fuel, thus influencing the confidence of the simulation. During the practical working process of an aero-engine, the back pressure of the FCU is influenced by the combined effect of the pressure of the combustion chamber, the resistance of the spray nozzles, and the resistance of the distribution valve. There is a need to study the the mimicking technique of FCU back pressure. This paper models the fuel system of an aero-engine so as to reveal the impact of FCU back pressure on the metered fuel and come up with a scheme to calculate the equivalent FCU back pressure. After analyzing the requirements for mimicking the pressure, an automatic regulating facility is designed to adjust the FCU back pressure in real time. Finally, experiments are carried out to verify its performance. Results show that the mimicking technique of back pressure is well suited for application in HIL simulation. It is able to increase the confidence of the simulation and provide guidance to the implementation of mimicking the FCU back pressure.

Performance improvement of direct torque control for induction motor drive via fuzzy logic-feedback linearization

2019 ◽  
Vol 38 (2) ◽  
pp. 672-692 ◽  
Author(s):  
Abdelkarim Ammar
Keyword(s):  
Fuzzy Logic ◽  
Robust Control ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Direct Torque Control ◽  
Torque Control ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Content Type ◽  
Control Approach

Purpose This paper aims to propose an improved direct torque control (DTC) for the induction motor’s performance enhancement using dual nonlinear techniques. The exact feedback linearization is implemented to create a linear decoupled control. Besides, the fuzzy logic control approach has been inserted to generate the auxiliary control input for the feedback linearization controller. Design/methodology/approach To improve the DTC for induction motor drive, this work suggests the incorporation of two nonlinear approaches. As the classical feedback linearization suffers while the presence of uncertainties and modeling inaccuracy, it is recommended to be associated to another robust control approach to compensate the uncertainties of the model and make a robust control versus the variations of the machine parameters. Therefore, fuzzy logic controllers will be integrated as auxiliary inputs to the feedback linearization control law. Findings The simulation and the experimental validation of the proposed control algorithm show that the association of dual techniques can effectively achieve high dynamic behavior and improve the robustness against parameters variation and external disturbances. Moreover, the space vector modulation is used to preserve a fixed switching frequency, reduce ripples and low switching losses. Practical implications The theoretical, simulation and experimental studies prove that the proposed control algorithm can be used on different AC machines for variable speed drive applications such as oil drilling, traction systems and wind energy conversion systems. Originality/value The proposed DTC strategy has been developed theoretically and realized through simulation and experimental implementation. Different operation conditions have been conducted to check the ability and robustness of the control strategy, such as steady state, speed reversal maneuver, low-speed operation and parameters variation test with load application.

scholarly journals The Impact of Proper PPE Protocol in A Highly Community Spread of Infectious COVID-19 in Semporna

2021 ◽  
Vol 5 ◽  
pp. 21
Author(s):  
Muhammad Farid Bin Zainal Abidin ◽  
Nur Farhana Binti Zainan ◽  
Mafeitzeral Bin Mamat ◽  
Sivasankar Pubalan ◽  
Mohd Syahfadzreen Bin Yunus
Keyword(s):  
Emergency Department ◽  
Healthcare Workers ◽  
Task Force ◽  
Control Unit ◽  
Third Wave ◽  
District Hospitals ◽  
Crisis Services ◽  
Multiple Issues ◽  
The Impact ◽  
Multiple Units

Introduction: The district of Semporna, Sabah was majorly hit by the third wave surge of COVID-19 in September 2020. At the peak of the crisis, services in Semporna Hospital were paralyzed with 40 healthcare workers (HCW) found to be COVID-19 positive; contributing to 14% of the total manpower.Objectives: Due to the immediate crisis, the main priority was to control the spread of COVID- 19 amongst the Semporna Hospital HCWs. This was important to curb direct infection from handling suspected patients seeking treatment in Semporna Hospital. Based on the hospital capabilities and resources, a comprehensive modified protocol was needed to control the situation.Methods: Semporna Hospital pandemic emergency task force was established with the presence of multi department and specialties. Multiple issues were raised and attended to, especially; issue of preparedness, low PPE stock and Emergency Department infrastructure.Results: The number of Semporna Hospital HCWs infected with COVID-19 was minimal after the initial disaster. Emergency Department infrastructure was improvised, workflow processes modified, HCW protection education prioritized and complete PPE sets were stocked up. All these efforts were under the strict supervision of the infectious control unit. The presence of multiple units of Powered Air-Purifying Respirator (PAPR) completed our adherence to the Ministry of Health (MOH) guidelines in managing the highly infectious level 4 patients for aerosolized generating procedures (AGP).Conclusion: This achievement can be used as a preparedness reference for other non-specialist district hospitals in Malaysia.International Journal of Human and Health Sciences Supplementary Issue: 2021 Page: S21

scholarly journals An Efficient Control Algorithm for Single Phase Power Factor Pre regulators to Achieve Fast Transient Response and Unity Power Factor

2011 ◽  
pp. 14-18
Author(s):  
Hardik K. Lakhani ◽  
N. Arun
Keyword(s):  
Power Factor ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Single Phase ◽  
Current Loop ◽  
Loop Control ◽  
Fast Transient Response ◽  
Control Functions ◽  
Control Rules ◽  
Error Dynamics

In this paper, an approach to generate robust control algorithm for the single phase PFC boost converter is presented. This control rules provide fast output response while maintaining high power factor. This approach is based on derivation of the control functions for both current loop and voltage loop which is multi-loop control structure. Designing of the control parameters are based on the required transient and the steady-state responses. Due to application of feedback linearization the performance of the of this control scheme is robust under all practical conditions. This method eliminates the nonlinearity and the dependence of the error dynamics on the input disturbance. Experiments are conducted to evaluate the control performance.

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