Spring Force Compensation for Bond Head

2011 ◽  
Vol 317-319 ◽  
pp. 1711-1716
Author(s):  
Lei Zhou ◽  
Jian Gang Li ◽  
Ze Xiang Li
Keyword(s):  
Control System ◽  
Steady State ◽  
High Precision ◽  
High Speed ◽  
Precision Control ◽  
Loop Control ◽  
Identification Method ◽  
Spring Force ◽  
Force Compensation ◽  
State Error

A bond head with spring bearing has steady-state error problem in position loop control. To maintain high speed and high precision control, a spring force compensator is proposed in this paper. Firstly, the system is modeled and the problem is stated. Then, a close loop identification method for the spring force is advised. The compensator is also modeled and compared with the traditional controller. In the experiment part, the result shows the new control system with spring force compensator works well.

Application Study of the Intelligent Integration Fuzzy Control in Steam Turbine Governing System

2005 ◽  
Author(s):  
Guili Yuan ◽  
Tianhong Wang ◽  
Jizhen Liu ◽  
Zijie Wang
Keyword(s):  
Control System ◽  
Steady State ◽  
Nonlinear System ◽  
Fuzzy Control ◽  
Steam Turbine ◽  
High Speed ◽  
Process Time ◽  
Full Field ◽  
Governing System ◽  
State Error

Steam turbine governing system is a nonlinear system, both the oil motor and the electric-liquid converter contain the nonlinear loop, however, the control strategy of the steam turbine governing system still stay at the control with PID, but the tuner with PID based on the accurate model belongs to the linear control intrinsically, and it doesn’t adapt to the nonlinear object. Fuzzy control doesn’t need the accurate mathematical model of the object, which fit to the nonlinear system and possess a better robust performance, and its control mechanism conform to the human’s intuitivism description and thinking logic about the function of the control system. Furthermore, the control query table is available by off-line calculation, and the real-time performance is improved. Intelligent integration fuzzy control is adopted here, the fuzzy control adopted the fuzzy control algorithm of full-field with self-tuning factor, where the control regulation is illustrated by analyzing, and the expression is brevity, the algorithm is simple, prone to master and realize with computer, and has self-optimization. The integration adopt the intelligent integration control to eliminate the steady-state error and improve the accuracy of control system. The advantage of the fuzzy control and integration control is developed adequately. The simulation result enunciate that the performance of steam turbine governing system with intelligent integration fuzzy control designed here is better than witch with conventional PID control, carrying advantages such as small super-adjusting, high-speed response, short transition process time and no steady-state error and so on.

The FPGA-Based Phase-Locked Loop Speed Control System of BLDCM for Magnetically Suspended Control Moment Gyroscope

2011 ◽  
Vol 80-81 ◽  
pp. 1249-1257
Author(s):  
Bang Cheng Han ◽  
Dan He ◽  
Fang Zheng Guo ◽  
Yu Wang ◽  
Bing Nan Huang
Keyword(s):  
Control System ◽  
Integrated Circuit ◽  
High Speed ◽  
Speed Control ◽  
Phase Locked Loop ◽  
Buck Converter ◽  
Current Loop ◽  
Loop Control ◽  
Control Moment Gyroscope ◽  
Control Moment

A phase-locked loop (PLL) control system based on field programmable gates array (FPGA) is proposed through analyzing the model of three-phase unipolar-driven BLDCM (brushless direct current motor) to enhance the reliability and accurate steady-state speed for magnetically suspended control moment gyroscope (MSCMG). The numerical operation module, PLL module and current-loop control module are designed based on FPGA using very-high-speed integrated circuit hardware description language (VHDL) to realize the control law of the digital system. The pulse width modulation (PWM) generating module for Buck converter, the commutation signal generating module for the inverter and ADC module are designed for driving the motor and sampling the current signal. The PLL is analyzed and optimized in the paper and all the modules are verified using the software of ModelSim and the experiments. The simulation and experiment results on BLDCM of MSCMG show that the stability of the motor velocity can reach 0.01% and 0.02% respectively by the PLL technology based on FPGA, which is difficult to be obtained by conventional proportion integral different (PID) speed control.

High Speed Weld Control System of Dual-Bypass MIG Based on LabVIEW

2010 ◽  
Vol 139-141 ◽  
pp. 1852-1855
Author(s):  
Cheng Xue ◽  
Yu Shi ◽  
Ding Fan ◽  
Hao Zhong ◽  
Ming Xiao Shi
Keyword(s):  
Control System ◽  
High Speed ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Mig Welding ◽  
Loop Control ◽  
Weld Formation ◽  
And Control ◽  
Control Output ◽  
Test Result

Dual-bypass MIG welding (DB-GMAW) is a new kind of high speed MIG welding with three arcs. In order to monitor the weld process and control it, a high speed weld system of DB-GMAW was built. The system was run by LabVIEW programs, including getting data of system and control output signals. The test result of system showed that all equipments could be used in the same time. Beside images of weld pool and arc, the weld voltages and currents of every part had been acquired. The signals of bypass current and weld speed also had been input TIG welding sources and worktable motor successfully. Meanwhile, the high speed weld formation had a good quality, and all of these established the closed-loop control of high speed DB-GMAW.

Rapid Design of DC Motor Speed Control System Based on MATLAB

2015 ◽  
Vol 743 ◽  
pp. 168-171 ◽  
Author(s):  
Xiao Lei Wang ◽  
Tai Yuan Yin ◽  
Jin Tao Chen ◽  
Jian Xun Liang ◽  
Yang Li
Keyword(s):  
Control System ◽  
High Speed ◽  
High Efficiency ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Loop Control ◽  
Rapid Design ◽  
Speed Control System ◽  
Low Efficiency

DC motor speed control system is a typical closed-loop control system ofelectromechanical control subject. This paper presents a fast and efficient developing method ofcontrol system based on MATLAB, overcoming the shortcomings of the low efficiency and longdesign cycle in the traditional control system, and completing the rapid design of DC motor speedcontrol system, with its whole process based on MATLAB through the combination and applicationof the multiple toolboxes of the MATLAB. It applies the System Identification toolbox ofMATLAB to model the DC motor, the Simulink toolbox to simulate the control system, SimulinkDesign Optimization toolbox to optimize the PID parameters automatically, and the RTWtechnology to generate the codes for the DSP target board. Compared with the traditional designmethod, this method is characterized by high-efficiency, high-speed, and easy adjustment, havingcertain significance to the design of other control systems.

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