Design Of Fractional Controller Based On PSO-GSA Algorithm And Its Application In BLDCM

Brushless DC motor with high output efficiency and low cost has been widely used in many fields.However,its speed adjustment accuracy is insufficient,and there are problems with inherent torque ripple due to the control method and performance of the electronic commutator.Designing a new type of brushless DC motor controller is of great significance to improve its accuracy and application range.A fractional-order fuzzy controller can be designed by integrating fractional order calculus theory and fuzzy logic theory into the controller,which has better control performance than traditional controllers.This paper mainly studies the design of fractional-order fuzzy controller based on the new PSO-GSA algorithm and its application to BLDCM.The main content is divided into the following parts:The first part mainly studies the operation principle of BLDCM and which mathematical model is established.A direct torque control module was established according to its torque ripple problem.The mathematical principles and modeling process of the stator flux calculation module,sector division and selection module,and space voltage vector selection module were introduced in detail.Verification was performed through simulation experiments.This simulation model laid the foundation for the controller experiments designed below.The second part introduces the new PSO-GSA algorithm.Based on PSO and GSA,the two optimization algorithms are merged into the PSO-GSA algorithm.The parameters of the PSO-GSA algorithm were optimized and improved.After verification,the global and local search capabilities and search speed of the new PSO-GSA algorithm have been improved.A method for controller optimization and parameter tuning below provided by this algorithm.The third part describes the fractional-order PIλDμ controller and its application in BLDCM.The fractional-order PIλDμ controller has two more adjustable variables than the PID controller.As a result,the control range of the fractional-order PIλDμ controller has been greatly improved,but parameter setting has become more complex.In order to improve the convenience and effectiveness of parameter tuning,a new PSO-GSA algorithm designed in this paper is used to optimize the five parameters of the fractional-order PIλDμ controller.Three kinds of controlled objects were selected to verify that the parameters set based on the new PSO-GSA algorithm had superior control quality.Then,using the BLDCM as the control object,speed response experiments and anti-interference experiments were performed to verify that the fractional-order PIλ controller set based on the new PSO-GSA algorithm has better control capabilities than the PI controller.The fourth part introduces the design of fuzzy PI controller and fractional-order fuzzy PIλcontroller and their application in BLDCM.The process of combining the fuzzy controller with the PI controller,and the fractional-order PIλ controller are described in detail,and two types of fusion controllers that can be adaptively adjusted in the control process are formed.The new PSO-GSA algorithm proposed in this paper is used to set the parameters of the two controllers and optimize their scale and quantization factors.The performance of the two controllers is verified by simulation experiment and experimental study,which proves that the proposed fuzzy PI controller and fractional-order fuzzy PIλ controller have better control performance.Finally,the fuzzy PI controller,the fractional-order fuzzy PIλ controller and the method of parameter setting and optimization are summarized,and the new controller design and application are prospected.