vector control.doc

All India Council for Technical Education(A Statutory body under Ministry of HRD, Govt. of India)

Title of proposal

IMPROVING DYNAMIC PERFORMANCE OF CNC MACHINE USING SENSORLESS BLDC MOTOR CONTROLLERAdd rows as required

Abstract

The work is purely based on improving the dynamic performance of CNC Machine using sensorless Field oriented control of BLDC Motor. Now-a-days to meet the most demanding requirements of CNC machine tools, robots and transfer lines in terms of productivity, accuracy and dynamic performance, brushless DC drives are very widely used. These drives employ brushless torque motors which are of high torque, low speed direct drive type taking the FOC approach yields many benefits to PMSM motor power management. FOC improves the dynamic response of PMSM motors. Also, FOC control technique offers the greatest cost benefit in motor control. The performance and reliability of BLDC motor drivers can be improved by improving the conventional control and sensing techniques with sensorless technology.

The hardware units consist of dSPACE DS1104 DSP, link board,TMS 320F EXPERIMENTER KIT,

driving circuit and PMSM. This project is proposed to design and implement with help of Matlab-

Simulink and dSPACE environment. The expected outcome of this project is to enhance the dynamic

performance of CNC machines using sensorless FOC technique.

Add rows as requiredObjective - Project Significance / Relevance with ongoing academic activities

High Precision Workpiece processing

Small speed ripple, within 1 revolution tolerance in full range speed, no matter in high

speed or low speed.

High precision torque for different solid materials processing.

Add rows as requiredProject Impact -Expected outcome

Advanced closed loop vector control and field weakening control make the VFD qualified for high speed/frequency rotation, up to 15000 revolutions per minute

Accurate speed control with wide constant power band, in the face of torque disturbances occurring with variations in material hardness

Improved controlling the rate of movement of tool tip.

Add rows as requiredLiterature survey on National &International scenario Paper [1] - International Conference on Electrical Energy Systems, 2011• PSO algorithm applied to permanent magnet synchronous motor for tuning the PID parameter.• Global optimization and self-updating property of particle swarm makes PSO controller quick and

intelligent in selecting the proper PI parameters.

Application Id - Page x/y


• PSO controller can also reduce the electromagnetic torque ripple.• PMSM stable and robust.Paper [2] –12th International Carpathian Control Conference, 2011• A novel modified BF-PSO algorithm termed ABF-PSO is used in tuning a FOPI controller for PMSM drive. • Performs better compared to that of PSO, BFO and gradient descent method. • The design specifications like percent overshoot, steady state error are very much improved in ABF-PSO

tuned FOPI controller.• Focused on implementing FOPI controller to the sensor less PMSM drive.Paper [3] – International Conference on Natural Computation,2010• PDPSO method obtains optimum gain of PID controller for DC motor.• PDPSO new variant of PSO is fast because of strong selection principle.• This approach utilizes the global and local best value to search optimal setting of the state variable by

considering security constraints.• This method is reliable and the number of required generation for convergence decreases with increase of

population size. • The performance of proposed method is better than simple PSO-PID Controller.Paper [4]- International Conference on Industrial Mechatronics and Automation, IEEE2010• The novel method optimizes the parameters of PID controller

using IGA, and obtains the optimized parameters.• The motor's response speed is faster than before, traceability is fine,

and the control effect is improved markedly. • This also illustrates IGA is a method has practical value and good

effect to optimize the PID parameters, and also suitable for control on complex and high precision conditions.Paper [5]- International Conference on Industrial Mechatronics and Automation,2010• Provides a new Particle Swarm Optimizer PID Algorithm according to the analysis of standard Particle

Swarm Optimizer PID and apply it on BLDCM.• It is showed in the simulation experiment that this algorithm successfully solves the contradiction

between contracting and expansion, avoids the premature phenomenon.• Compared with standard PSOPID this new Particle Swarm Optimizer PID Algorithm has higher contract accuracy and more satisfying evolution speed, and has the advantage of realizing simply and easily.

Following Academicians / Scientists are currently working in this area 1. Dr. H.K. Verma,

Deputy director and Professor /EEEIndian Institute of Technology Roorkee

2. Prof. Anguluri Rajasekhar, Ravi Kumar JatothNational Institute of Technology-Warangal,Andhra Pradesh-506021, INDIA.

3. Dr.D.DevarajDean (R & D) Kalasalingam University, Krishnakoil, Tamilnadu

4. Dr S.BaskarProfessor, EEE DepartmentThiayagaraja college of EngineeringTamilnaduMadurai – 15.

Reference:1. Dr. H.K. Verma, Miss Cheshta Jain, “A Performance-Dependent PSO based Optimization of PID Controller for DC Motor”, International Conference on Electrical Energy Systems,pp.199-202,20112. AnguluriRajasekhar, Ravi Kumar Jatoth, Ajith Abraham& Vaclav Snasel, “A Novel Hybrid ABF-PSO algorithm Based Tuning of Optimal FOPI Speed Controller for PMSM Drive”, 12th International Carpathian Control



Conference, pp 320-325,2011.3. Shaozhong Cao, JiTu and Heping Liu, “PSO Algorithm-Based Robust design of PID Controller for PMSM”, International Conference on Natural Computation,pp.3513-3517,20104. Ren Yu, Zhao Chengyao ,“Optimal PID Controller Design in PMSM Based on Improved Genetic Algorithm” , International Conference on Industrial Mechatronics and Automation,PP.123-126,IEEE20105. D.Devaraj, B.Selvabala, “Real-coded genetic algorithm and fuzzy logic approach for real-time tuning of proportional–integral–derivative controller in automatic voltage regulator system,” IET Gener. Transm.Distrib., vol. 3, Iss. 7, pp. 641–649, 2009.6.X.J.Cai,Z.H.Cui,J.C.Zeng and Y.Tan, “Performance dependant adaptive particle swarm optimatization” International Journal of innovative computing, Information and control Vol:3, No: 6B, Pp. 1697-1706, 20077. Mehdi Nasri, Hosseinmezamabadi-Pour and Malihemafhfoori, “ A PSO optimum design of PID controller for a linear brushless DC motor”, world academy of science Engg. and technology 26, 20078. W. Karoni Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. In GECCO 2008: Proceedings of the Genetic and Evolutionary computation conf, pages 1823-1826, Atlanta, GA, USA, July 2008. ACM

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Techno-Commercial status / Outcome / IPR / Social benefit /other Better performance in steady state and transient state response. Reduction of ripple in torque characteristics. Steady state error is zero. Minimum rise time. Maximum Peak overshoot is zero. Smooth Speed regulation

Add rows as requiredTechnical Consultancy / Revenue generation


Time & activity chart (Project Duration: 36 Months)

Activity Months(add columns as required)

First Year Second Year Third Year

1-3 4-6 7-9 10-12 13-15 15-18 19-21 22-24 25-27 28-30 31-33 34-36

Literature study and field visit to the industries

Simulation of PID Controller and identification of a better control scheme to tune the controller parameters

Implementation of PSO Algorithm, to obtain optimal value of Kp,Ki,Kd.

Simulation and analysis of



PSO-PID Controller for PMSM

Procurement of hardware components such as dSPACE DS1104 DSP Board, Link board, inverter driver circuits, PMSM drive etc

Practical implementation of the prototype model in the laboratory

Practical study on performance of dSPACE DS1104 with Matlabsimulink under various operating conditions

Obtain the better dynamic response by tuning of PID in real time environmentContinuing the practical studyComparative study of performance of various industrial drivesTesting the result

Preparation of final report, Outcome of International publications.& Implementing the same in industry

This is sample activity chart. Modify as needed. Add activities/rows as required

Facilities / equipment available in the area of research proposed

Name of equipment Make and model Cost in Rs. Year purchased

Digital Storage Oscilloscope Scientech 1,00,000 2009

Design of PID controller kit , design of Compensator & Process control simulator

VI Microsystem Make 35,000 2008

PIC Microcontroller – Development Board

PIC 16F877A 20,000 2011

MATlab 7.6 (Licensed ) MATLAB R2008A 3,97,912 2009

Psim software (Licensed) PSIM 8.0.5 1,50,000 2011



BLDC Motor ( 4000 RPM, 24V,5.16A,180W)

Powersoft 40,000 2011

ETAP ( Licensed) ETAP 7.5 2,10,000 2011

Computer ( RAM 2GB,HDD 320GB ) – 30 Nos

Pentium IV ( Core II Duo Processor) with LCD Monitor

8,50,000 2010


Budget Estimates – Non Recurring Total Rs. 16.17025 Lakhs

Proposed expenditureDetails

Specifications Cost in LakhsRs.

No of units

Justifications

a) Staff for 3 Year Junior Research Fellow 6.36 -- Salary

b) Expendables -- 1.375 --

c) Travel -- 2.50 --

d) Contingencies -- 1.00 --

e) Visiting Faculty or Research

Consultants

--.625

--

f) Procured services (other than (g)) and metered utilities

--0.75

--

g) Add: Institutional overheads@15% of (a+b+c+d+e+f) only

--3.56025

--

h) Column Totals 16.17025 --Add rows as required

Budget Estimates –Recurring Total Rs. 7.5 Lakhs

Proposed equipment/s Estimate for Year 1 Estimate for Year 2 Estimate for Year 3

Equipment (including spares therefore) &Softwares

1.00 2.002.00

Operation and maintenance of equipment 0.50 1.00 1.00

Total 1.50 3.00 3.00Add rows as required

Profile of collaborating/participating Industry/s or other orginisation/s, if any.



Name Address Website Contact person , designation, email

Role$ in collaborating/participating

Financial commitment# towards project in Rs.

Total Rs. (C)$Mention role of Industry/orgnisation.

Provide resume of participating personnel from Industry/orgnisation with their strength and role in the research project. Add rows as required. Attach additional pages if required.

#Attach copy of letters received from participating industry showing intent / financial commitment etc.

By signing this certificate, I/We undertake to

Abide by all the rules / regulations regarding utilization of amount that may be granted to the Institute. Submit timely progress reportsabout grant utilization. Submit utilization certificate duly authenticated by CA on/before project period is over. Return full/partial unutilized grant amount to the Council.

Project forwarded to AICTE Signature of Head of the Institution

Date : Institute Seal

Important :You need to apply on web portal using your Institute login and password. Select tab “RID application”. Press “New” to create new application. Your application is assigned unique application Id. Fill all the details over there. Prepare application in this proforma also. Attach PDF of it to the application on web portal. Now press “submit” on web portal to submit application. Pay processing fees on web portal using appropriate payment option.

office use only :

NR R R R R R R

Equip purchase AMC Consumables Salary Fellowship Travel, Stay & DA

Ptg& Stationery / office Exp

RPS Y Y Y - - - -


vector control.doc

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