OBTAINING PARAMETERS OF A TRANSPORT SYSTEM

• US 20150019182A1
• Filed: 07/18/2014
• Published: 01/15/2015
• Est. Priority Date: 02/01/2012
• Status: Abandoned Application

• Current Assignee: Kone Corporation
• Original Assignee: Kone Corporation
• Inventors: TYNI, Tapio, PERL, Pekka
• Application Number:
  US14/335,608
• Publication Number:
  US 20150019182A1
• Time in Patent Office: Days
• US Class Current: 703/2
• CPC Class Codes: B66B 1/3407 Setting or modification of parameters of the control system
• CPC Class Codes: B66B 19/007 method for modernisation of elevators
• CPC Class Codes: G06F 17/10 Complex mathematical operations function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544
• CPC Class Codes: G06F 30/30 Circuit design

Abstract

The invention refers to a method for obtaining the system parameters of a transport system, particularly an elevator, in which method

• • a) at least first and second input parameters of the transport system are determined,
  • b) a power model fitting to the transport is provided, which power model comprises motor model components and hoistway model components,
  • c) model parameters describing power flow in the transport system are fitted into the power model,
  • d) the model parameters are optimized under use of at least one of the input parameters of the elevator,
  • e) the optimized model parameters are post processed to obtain at least one of the system parameters of the transport system. The system provides missing system information about a transport system, particularly in cases in which an existing system is to be renovated with a new motor.

Claims

1. Method for obtaining the system parameters of a transport system, particularly an elevator, in which method

a) at least first and second input parameters of the transport system are determined,

b) a power model fitting to the transport is provided, which power model comprises motor model components and hoistway model components,

c) model parameters describing power flow in the transport system are fitted into the power model,

d) the model parameters are optimized under use of at least one of the input parameters of the elevator,

e) the optimized model parameters are post processed to obtain at least one of the system parameters of the transport system.

2. Method according to claim 1,

wherein the input parameters determined in step a) are the motor power P_me and the car acceleration a.

3. Method according to claim 1,

wherein the input parameters determined in step a) are the car mass m_car and the counterweight mass m_cwt.

4. Method according to claim 1,

wherein the model parameters are optimized by minimizing the error square of at least one of the first and second input parameters with respect to the corresponding model parameter.

5. Method according to claim 1,

wherein the power model comprises a motor model comprising the motor model components and a hoistway model comprising the hoistway model components.

6. Method according to claim 1, wherein the optimization in step d) is performed using the following formula:

7. Method according to claim 1,

wherein the motor model is

P_me=P_mm+P_ar+P_cl+P_il,

with P_me is the input energy to the motor, P_mm is the power available at the traction wheel, P_ar are armature losses, P_cl are copper losses and P_il are iron losses in the motor.

8. Method according to claim 1,

wherein the hoistway model is

P_mm=P_hc+P_hl=P_p+P_k+P_hl,

wherein P_hc is the Energy of the moved hoistway components being the sum of the potential power P_p and the kinetic power P_k of the moved components in the hoistway, and P_hl are the friction losses caused by the movement of components in the hoistway.

9. Method according to claim 1, wherein the potential power and the kinetic power in the model are determined as follows:

{circumflex over (P)}_P(a, v, h, m_B(h))=m_B(h)·

g·

v

{circumflex over (P)}_K(a, v, h, m_I(h))=m_I(h)·

a·

v,

{circumflex over (P)}_hc={circumflex over (P)}_P+{circumflex over (P)}_K

wherein m_B is the mass difference between car-counterweight system and other shaft components affecting to it, m_I is the equivalent total inertia mass of all moving or rotating components in the system, both are in kilograms and dependent of car location in the hoistway, g is the gravitational acceleration.

10. Method according to claim 9, wherein the optimized parameters m_B and m_I are post processed by an inertia model represented by following equation to obtain the mass of the car and counterweight as system parameters

11. Method according to claim 10,

wherein in said inertia model any rotational inertia is transferred first to its equivalent linear inertia with a transformation m_Ic=J_c/r_c², where J_c is the rotational inertia and r_c is the radius of the rotating element through which the component is connected to the system.

12. Method according to claim 11, wherein rotational main inertia components, e.g. armature, traction sheave and/or brake drum are modeled as a hollow cylinder with an outer diameter D and an inner diameter d having a rotational inertia

13. Method according to claim 1 in that the optimized model parameters of the power available at the traction sheave P_mm and the energy of the hoistway components P_hc are post processed by following formula to obtain hoistway and motor efficiencies at any point k of a test run performed in connection with step a)

{circumflex over (η

)}_mk=({circumflex over (P)}_mmk P_mek<sup>−

1</sup>)^sign(Pmek) {circumflex over (η

)}_hk=({circumflex over (P)}_hck {circumflex over (P)}_mmk<sup>−

1</sup>)^sign(Phck)

with |{circumflex over (P)}_mm|>

0|P_me|>

0|{circumflex over (P)}_hc|>

0.

14. Method according to claim 1, wherein the method is performed during the renovation of an existing elevator system wherein the old motor is replaced with a highly efficient and reliable Permanent Magnet Synchronous Motor technology.

15. Method according to claim 1, wherein the optimization in step d) is performed under use of a genetic algorithm.

17. Method according to claim 2,

wherein the input parameters determined in step a) are the car mass m_car and the counterweight mass m_cwt.

18. Method according to claim 2,

wherein the model parameters are optimized by minimizing the error square of at least one of the first and second input parameters with respect to the corresponding model parameter.

19. Method according to claim 3,

wherein the model parameters are optimized by minimizing the error square of at least one of the first and second input parameters with respect to the corresponding model parameter.

20. Method according to claim 2,

wherein the power model comprises a motor model comprising the motor model components and a hoistway model comprising the hoistway model components.

16. A computing system comprising:

a transport system model section for simulating a transport system operating process and outputting a simulation result

a simulation error minimizing section for correcting the simulation result by adjusting one or more of the transport system model parameters

a post processing section for further processing the adjusted transport system model parameter and operable to output one or more physical characteristics of a specified transport system component.