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Tiêu đề Một cách tiếp cận định hướng vật thể để phân tích và thiết kế bộ điều khiển tàu biển có bề mặt xác định
Tác giả Nguyen Hoai Nam, Khuong Minh Tuan, Ngo Van Hien, Hoang Sinh Truong
Trường học Hanoi University of Science and Technology
Chuyên ngành Control Systems, Marine Engineering, Robotics
Thể loại Báo cáo nghiên cứu
Năm xuất bản 2014
Thành phố Hà Nội
Định dạng
Số trang 5
Dung lượng 231,38 KB

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An Object-Oriented Approach to Analyze and Design Controllers of Autonomous Surface Vessels Nguyen Hoai Nam, Khuong Minh Tuan, Ngo Van Hien*, Hoang Sinh Truong Hanoi University of Scie

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An Object-Oriented Approach to Analyze and Design Controllers

of Autonomous Surface Vessels

Nguyen Hoai Nam, Khuong Minh Tuan, Ngo Van Hien*, Hoang Sinh Truong Hanoi University of Science and Technology, No.l Dai Co Viet Str., Ha Not, VietNam

Received; March 04, 2014; accepted: April 22, 2014

Abstract

This paper presents a novel approach based on the Model-Driven Architecture (MDA) to systematically

to entirely specify the requirement analysis, design and deployment phases of these systems In this

Computation Independent Model (CIM) combined with the use-case model and hybrid automata, the Platform Independent Model (PIM) carried out by using the real-time Unified Modeling Language (UML)/System Modeling Language (SysML) and its Platform Specific Mode! (PSM) implemented by object-oriented mechanisms to completely perform the development lifecycle of ASV controller This approach is then applied to implement and deploy a horizontal planar trajectory-tracking controller for a open-source platform in order to quickly simulate and realize the operational functionalities of control system

Keywords: Autonomous Surface Vessel, Hybrid Automata, UML, SysML and MDA

I Introduction

Conttol systems have a significant impact on

the performance of surface vessels and marine

structures allowing them to perform tasks in severe

sea states and during long periods of time Surface

vessels are designed to operate with adequate

reliability and economy, and in order to achieve this,

it is essential to control the motion The problem of

designing motion contiollers for ASV is equally

challenging because they are tightly cotmected with

the dynamic models In addition, the immersion in an

mdustrial conttol context makes that the designers

existing standards for analyzing, designing and

implementing effectively these systems

Starting from the above considerations, we

have developed an object-oriented model to

effectively carry out the conttoller of Autonomous

Surface Vessels (ASV), which have the dynamic

behaviors modeled by using hybrid automata [ I ] , [2]

This system permits an ASV to reach and follow a

model, we specify the dynamic model of surface

vessels, M D A ' s feahires such as the CIM with

use-case model including hybrid automata and industrial

constraints, the PIM earned out by using real-time

UML/SysML, and its PSM implemented by

object-' Conesponding autiior; Tel: (+84) 904.255.855

oriented mechanisms to cover the whole of development hfecycle of ASV contiollers Based on this approach, a ttajectory-ttacking conttoller of a miniature ASV is completely retto-designed and simulated

2 Modelling asv dynamics for control

2.1 Dynamic model of surface vessels

According to SNAME [3], the six motion

components of a surface vessel defined as surge, sway, heave, roll, pilch, and_vavv From the large field

of guidance, navigation and conttol of marine

dynamic model of surface vessels in body frame can

be written in (1):

{ M-v + C(v)v -f- Div)v -1- giri) = T -|- 5^ + cu *^'

Where: r] (x, y, ^ tp 9, 1//)^ is the

position (NED: North, East and Down) and orientation (Euler: RPY -Roll, Pilch and Yaw angles);

V = (u, V w, p, q, r)'"\% the velocity and angular velocity; M = M^^ + M^ is a mass mattix, which

denotes the 6x6 system inertia matrix containing

both: MKB - the generalized constant inertia matrix, and MA the added mass inertia mattix;

C(v)=C^(v)-\-C/v) is the 6x6 Conolis and centripetal

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nonlinear hydrodjmamic damping are contained

within the 6x6 matrix D(v)=D+DJv), D contains the

linear damping terms, and DJv) contains the

nonlinear damping terms; g(ri) is the 6x1 vector of

gravitational and buoyancy effects; r is the 6x1

conttol input force and torque; gg is the ballast force

and torque; and finally (o is the 6x1 vector extemal

disturbances caused by wind, waves and ocean

current

2.2 Using the 3D dynamic model for ASV

controllers

The horizontal motion of a surface vessel is

often described by the motion in surge, s-way, and

yaw Therefore, we choose tj= (x, y, y/)''', v = (u,

V, r)'^ and the Jacobian matrix typed 3x3 for

obtaining the dynamic model of this case from the

genera! modeL as m (1) More details of this 3D

dynamic model can be found in [4] In this paper, we

are interested in the ttajectory-ttacking conttol of

ASV, so we must concenttate on this dynamic model

to gather the conttol algorithms with a concrete

guidance, e.g the Line-of-Sight (LOS) [4], [5],

3 MDA specialization to develop an asv controller

3.1 Overview of MDA

The MDA [6] is an approach to system

development, which increases the power of models

in that work, MDA contains three models to

separate the specification of the operation of a

system from the details of the way that system uses

the capabilities of its platform:

• Computation-Independent Model (CIM) is refened

to as a domain or business model, the CIM presents

the system at the highest level of absttaction,

• Platform-Independent Model (PIM) is used by

conttol system architects and designers to describe

the conttol solution at a high level, independent of the

solution's deployment platform

• Platform-Specific Model (PSM) specifies a

combination between the details found m the PIM

with the details representing how a solution can be

implemented on a platform

Furthermore, this approach supports also for

model transformation The model ttansformation is

the process of converting one model to another

model of the same system Transformations can use

different mixtures of manual and automatic

transformation [6]

3.2 MDA process for an ASV controller

Starting fi-om MDA specifications and characteristics of dynamic model of ASV, we define here an executable process, which permits us to cany out the development of an ASV having behavion modeled by Hybrid Automata (HA) [ I ] , [2], and to re-use it in different ASV conttol applications This process includes the following main points:

• Object collaborations with UML/SysML and HA present the CIM, which allow analyzing structure and behaviors of an ASV conttoller

- To describe a conttol system such as the ASV with the H A ' s formalism and carry out its evolution, we have inttoduced consttaints and mies, which can be found in [2], [5] In CIM, HA are used to describe mathematical behaviors (i.e, the

dynamic model of ASV: Situations, Slate

Variables, Transition, etc, of its HA) of this

system

- Object collaborations with UML [7] permit the identified HA model to be exacfly converted into business objects, which present control elements of the ASV being developed,

• Real-Time UML models indicate the PIM, which permit us to cover the design phase of the developed system These models are described by using the 'capsules, ports, protocols' concept [7] in order to specify a set of conttol modules in precise behaviors,

• Object-Oriented ( 0 0 ) implementation models are used to introduce the PSM of this system m order to validate and deploy the identified conttol design.' model into the OO software platforms That permits

us to evaluate the conttol performance and functionalities, and to easily build control design elements before they can be realized and deployed This process will be gone into detail in the next section for describing the development phases

of an ASV

4 Whole of MDA process for an ASV controller

4.1 CIM for an ASV controller

Main stages to build the CIM of an ASV are the followings:

• Identifying complex behaviors of the ASV being developed by using the use case model [7] In this step, tt is necessary to provide industrial consttaint conditions, e.g the maximum swing angle of mdder,

sure the precise operation of this system Fig 1

Here, MDS is the Measurement and Display System; MES is the Marine Environment System including

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disturbances such as the wind, waves, ocean cunents

etc

We find that the "Drive'" use case is oriented

towards conttol modes; its complex behaviors must

be specified by using sequence diagrams and local

state machines In our model, we use the 3D

dynamic model of ASV and LOS guidance [4], [5]

because we are interested in the trajectory-tracking

conttol

Behavior (IGCB's capsule) Fig 2 shows out the general inter-communication pattern of these conttol capsules by using the RT U M L ' s collaboration diagram It can be noted that if we

then each capsules and its protocols respectively correspond to a block and its flow ports and item flows

ASV Intecronnecbon pattern of ma'n control capsEiles

Fig 1 Main use case model of an ASV controller

• Defining the extended fimctional diagram [5],

which permits us to model ttansformational activities

of an ASV conttoller with events coming from

outside

• Building a global state machine in order to bring

developed from all local identified state machines

global state machine can be found in [5]

• Specifying the hybrid automaton of an ASV; this

includes situations, invariants, continuous state

spaces, events, initial situation, mitial continuous

stale, and continuous fluids [2] We have defined the

steps and realization hypotheses, which can be found

in the author's report [5] to determine HA of the ASV

being developed

4.2 PIM for an ASV controller

We find that the direct ttansformation of

CIM to the implementation environment must be

supplemented to carry out an ASV and its re-use in

the new application development phase For

example, the above identified CIM are not well

adapted to visualize, model interconnection types

between control objects or sub-systems In the

detailed design phase of this system, we transform

the identified CIM into PIM, which is based on the

use case approach, and uses the Real-Time

UML/SysML notations [7] From the approach

described in [8], we have developed the 5 main

conttol capsules of PIM, which take part in the HA

realization of the ASV being developed: the

continuous part's capsule, discrete part's capsule,

intemal interface's capsule, extemal interface's

Fig 2 Interconnection pattern of main conttol capsules

• The discrete part's capsule contains a set of

situations and ttansitions in HA of the ASV being

yaw)

• The continuous part's capsule is associated in

ttansformational activities of the identified extended functional diagram,

• The IGCB's capsule contains concrete continuous

fluids of the ASV being developed at time given in its

HA Each conttnuous fluid conesponds with a sittiation in this HA

• The internal interface's capsule generates intemal

events of the ASV bemg developed, so that the discrete part's capsule can make its own evolution by these events

• The external interface's capsule is an intermediary,

signals between the ASV being developed and their interacted systems such as MES and MDS m our case study

4.3 PSM for an ASV controller

The 'sub-system' paradigms, which are supported by software tools such as MatLab-Simulink, OpenModelica, etc are used to perform the

conttol simulation model of ASV; because they are easily adapted from the object-oriented analysis elements of this system Then, the 0 0 realization models are developed in the PSM in order to carry

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which can support object-oriented programming

languages such as C++, Java, Ada, etc., and upload

the implemented conttol program to compatible

microconttoUers Within limit of the paper, we do

not show out here all the components of CIM, PIM

and PSM for the ASV conttoUer, so detailed results

can be seen in [5]

5 Application

Based on the above described approach, we

have successfiilly analyzed, designed and

implemented the horizontal planar ttajectory-ttacking

conttoller for a miniature autonomous marine

vehicle This is a part of the potential research project

(code: KC03.TN05/I I-I5), which has been led by the

author fi-om Hanoi University of Science and

Technology [5] In this application, we have used

OpenModelica software tool [9] for simulate the

conttol performance of ASV, because it is tightly

oi Modelica language [10] Arduino platform [I I] has

been used to quickly deploy the realization model of

prototyping platform based on flexible, easy-to-use

hardware and software It can sense the environment

by receiving inputs from a variety of sensors such as

the pressure, Inertial Measurement Unit (IMU),

magnetometer Global Positioning System (GPS),

etc., and can affect its surroundings by conttolled

actuators Arduino Mega2560 microconttoUer [ I I ] on

the board has been programmed by using the Arduino

programming language based on C++ AH of PIM

by using the above approach to completely deploy

and take on trial trip for this marine vehicle [5]

6 Conclusion

In this paper, we have inttoduced an

object-oriented approach to develop conttollers of ASV

This approach is based on the specialization of

MDA's features with real-time UML/SysML and HA

in order to quickly analyze, design and implement the

conttol parts of system No single formalism or

language of an engineering process can possible

capture all the knowledge and information needed to

solve complex conttol systems such as the ASV

conttoller The ASV dynamic model is adapted to

gather the conttol requuement analysis The MDA's

features are specified to obtain a general MDA

process model including the CIM, PIM and PSM to

entirely develop this system The CIM of an ASV

analysis phase by specializing use case model and

design model by specifymg real-time UML/SysML

notations in the precise behaviors and stmctures of

new PSMs by using different object-oriented specific platforms in order to completely realize this conttoller with compatible microconttoUers Following this approach, a ttajectory-ttacking conttoller of a miniature autonomous marine vehicle has been completely developed with the simulation

using Arduino Mega2560 microconttoUer In the nexl

time, we will develop this approach combined with

to perfectly design, implement and deploy conttollers for balancing search and target response in cooperative ASV teams

Acknowledgment The authors would like to thank the supports fi-om the scientific research project, code; KC03.TN05/H-I5, Hanoi University of Science and Technology

References

1 Carloni, L.P., Passerone R., Pinto, A., Sangiovanni-VincenteUi L.A.; Languages and Tools for Hybrid Systems Design; now

Soriano, T.; Implementing hybrid automata for developmg industrial control systems; Proc of

129-137

2 SNAME; Nomenclature for Treating the Motion

of a Submerged Body Through a Fluid; SNAME Technical and Research Bulletin No 1-5, N.Y., U.S.A., 1950

3 Fossen T I.; Handbook of Marine Crafl Hydrodynamics and Motion Conttol; John Wiley & Sons, 2011

4 Hien, N.V., et al.; Research, design and manufacture control systems with the integration

of object-oriented technology (MDA & Real-Time UML) and navigation units (INS/GPS) for autonomous marine vehicles; Final report of potential research project, code:

KC03.TN05/11-15, Hanoi University of Science and Technology, 2013

5 OMG; Model-Driven Architecture (MDA) guide; hflp://wTvw.omg.org/mda/, 2003

6 OMG; UML Profile for MARTE, Real-Time Unified Modeling Language, System Modeling Language; http://www.omg.org/spec/, 2011

7 Soriano, T., Sghaier, A., Hien N.V.; Mechattonics Design fi-om an Object-Oriented Point of View; WSEAS Transactions on Communications, ISSN 1109-2742, 3 (2004)

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8 OpenModelica; OpenModelica software tool;

https://openmodelica.org/, 2012

9 Fritzson P.; Introduction to Modeling and

Simulation of Techiucal and Physical with

Modetica; John Wiley & Sons, 2011

10 Arduino, Open-source electtonics prototyping

platform for hardware and software;

http://www.arduino.cc/, 2012

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