tailieunhanh - Control of electric motor machine tools using self organizing fuzzy logic controller

This paper addresses the application of a self-organizing fuzzy logic controller (SOFLC) to actively deal with the real-time variation of the plant’s characteristics. SOFLC is a heuristic methodology where the control rules are generated and improved automatically according to the evaluation of the system’s behavior, and to modify the control rule based on the system performance evaluation. | Journal of Automation and Control Engineering Vol. 3, No. 6, December 2015 Control of Electric Motor Machine Tools Using Self-Organizing Fuzzy Logic Controller Kyeong Mi Lee, Donggil Kim, and Dongik Lee School of Electronics Engineering, Kyungpook National University, Daegu, South Korea Email: rudal2419@, {eastroad, dilee}@ Abstract—For the control of electric motor which drives machine tools, it is important to achieve a high precision and accuracy. In general, PID-type controllers, which are widely used for industrial machine tools, exploit a ZieglerNichols based tuning method. However, it is difficult to perform real-time parameter tuning to obtain good performances under various operating modes. This paper addresses the application of a self-organizing fuzzy logic controller (SOFLC) to actively deal with the real-time variation of the plant’s characteristics. SOFLC is a heuristic methodology where the control rules are generated and improved automatically according to the evaluation of the system’s behavior, and to modify the control rule based on the system performance evaluation. The simulation is performed using Matlab/Simulink and the results of a comparison study between the proposed SOFLC controller and a PID type controller are presented to explore the performance and effectiveness of the proposed algorithm. methods. As described before, the resulting PID controller needs to adaptive in the presence of the change in operating environment. Typical auto-tuning methods for PID include Ziegler-Nichols, Astrom & Hagglund algorithm, and Cohen & Coonrule [4]. However, these approaches still suffer from difficulties in dealing with the rapid change of system characteristics [1]-[3] [5], so that the control system results in performance degradation. This paper presents a self-organizing fuzzy logic controller (SOFLC) to actively address the time-varying plant characteristics including randomly varying network delays and actuator .

• Cơ khí - Chế tạo máy
• Journal of Automation and Control Engineering
• Control of electric motor machine tools
• Self organizing fuzzy logic controller
• Modify the control rule
• The self organizing fuzzy logic controller
• Increasing the productivity of automation tool by developing socket
• Automation tool by developing socket
• Auto report generated
• The automation tool
• Abnormality management in industrial automation systems
• Industrial automation systems
• Future industrial automation systems
• Abnormality management approach
• Sliding mode based relative pose synchronous control
• Space autonomous rendezvous
• Relative pose synchronous control
• The control system design
• The sliding mode control law
• Application of pressure control type quasiservo valve
• Force control system
• The quasi servo valve
• The pneumatic cylinder
• Robust vehicle suspension system
• Converting active & passive control
• A vehicle to semi active control system analytically
• Semi Active Vehicle System
• Environmental control of a greenhouse system
• NI embedded systems technology
• The soil moisture
• The Engineering School of Bahrain Polytechnic
• Design of control system for 3D printer
• DSP and FPGA
• Control system for 3D printer
• Closed loop control
• Improving performances of a cement rotary kiln
• A model predictive control solution
• Cement rotary kiln
• Advanced process control
• Model predictive control
• Active learning in motor control and matlab simulation
• Active learning in motor control
• Servo motors of the simulation of neural networks
• Motion of a robot arm
• Redundancy and operation of power control system
• A deep space small probe
• Functions of redundancy
• Power Control Unit
• Closed loop speed control of miniature brushless DC motors
• Closed loop speed control
• Miniature brushless DC motors
• Delta Connected BLDC motors
• Adaptive wavelet backstepping control
• Class of mimo underactuated systems
• Multi input multi output
• Proposed control scheme
• Adaptive backstepping controller
• Hybrid position force control for a stewart platform
• Hybrid position force control
• The work surface
• The stewart platform
• Robust control of double inverted pendulum system
• Double inverted pendulum system
• Reference trajectory control
• The dynamic modeling
• Speech recognition in human computer interactive control
• Computer interactive control
• HTK and Sphinx
• Vietnamese speech recognition
• Human computer interaction
• Command shaped robust control of a flexible spacecraft
• Command shaped robust control
• Strong cross couplings
• Loop shaping design
• Optimal control of vehicle active suspension system
• Vehicle active suspension system
• The active suspension system
• LQR control technique
• Mimo fuzzy control for autonomous mobile robot
• Mimo fuzzy control
• Autonomous mobile robot
• Implementation of multi input multi output
• Reach defined target
• Asynthesis method of robust cascade control system
• Robust cascade control system
• Imposes robust conditions
• Soft oscillation index
• Efficient adaptive fuzzy control scheme for industrial manipulators
• Degree of freedom
• Fuzzy control scheme
• IMO nonlinear second order systems
• Multilevel inverter topology and control techniques
• Reduce electromagnetic interference
• Control strategies employed
• Linear quadratic optimal control problem of stochastic switching systems
• Linear quadratic optimal control problem
• Stochastic switching systems
• Non invariant linear systems
• Investigation of hybrid adaptive control schemes
• Needle free jet injection system
• Hybrid adaptive control schemes
• Needle free jet injection
• Modelling and simulations
• Development of a new algorithm
• Control excitation of particular mode of a building
• Particular mode of a building
• Sliding mode control