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Optimal Design of Speed Adaptive Disturbance Reject Controller for Brushless DC Motor Using Immune Clonal Selection Algorithms

Author: ZhuFeng
Tutor: RenHaiPeng
School: Xi'an University of Technology
Course: Detection Technology and Automation
Keywords: Brushless DC Motor Digital Signal Processor Active-Disturbance Rejection Controller Immune Colonial Selection (ICS) algorithm Simulation model of BLDCM
CLC: TM33
Type: Master's thesis
Year: 2009
Downloads: 42
Quote: 0
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Abstract


Since the Brushless DC Motor (BLDCM) driving system is a multi variables nonlinear system with strong coupling, it is very difficult for a classical PID controller to get the desired performance. Compared with conventional PID controller, the ADRC demonstrates strong robustness to model uncertainty and disturbance. However, there are many parameters of ADRC to be adjusted to possess good performance. To solve the problem, the Colonial Selection algorithms (CSA) is proposed to search optimal ADRC parameters, we got the best control parameters under Guide line of performance.The Colonial Selection algorithms (CSA) is optimize method based on Immune mechanism, the performance batter than simple inheritance algorithms, affinity function evaluate is important process of Colonial Selection algorithms (CSA). It difficult to realize and complicates for evaluate affinity function if programmed in CCS. Meanwhile, the examination damaged system of motor probably. Therefore, the control system Simulation model of BLDCM is established using Power Systems Block set in Matlab. We got the best ADRC performance by evaluate affinity at last.The BLDCM speed control system by the core of TMS320F2407 and permanent magnet BLDCM IFT5042. The optimal parameters derived from CSA algorithm are used in ADRC in experimental configuration. The better performance of ADRC is verified by Experimental results as well as simulation results. The experiment indicated:the optimized ADRC parameters have batter control capability. From ADRC effect obvious good in the classics PI control, the dynamic property is good, displays the very strong robustness.

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CLC: > Industrial Technology > Electrotechnical > Motor > DC motor
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