Abstract:Proportional-integral-derivative (PID) control algorithm is widely used in the angle control system of tea garden tractor, but the PID controller brings a lot of parameters setting and hysteresis, which can inevitably reduce the control accuracy and control efficiency. To solve the problem, a tea garden tractor angle controller based on the grey wolf optimization algorithm(GWOA) was proposed. A simplified mathematical model for electric power steering(EPS) system of tea garden tractor was established, and a PIDbased motor currentsteering wheel angle double closedloop control strategy was adopted. The GWOA was designed to optimize the parameters of the traditional PID controller, and the PID angle controller based on GWOA was constructed. CARSIM and MATLAB were used to simulate the tractor operation in real time, and the proposed tea garden tractor angle controller algorithm based on GWOA was verified. The results show that the total current harmonic distortion(THD) of the traditional PID controller is 11.46%, and the THD of the particle swarm optimization(PSO)PID controller is 8.12%. The THD of the proposed GWOA-PID controller is 6.28%, which reduces the current harmonics by 45.2%.
JIA Q, ZHANG X C, YUAN Y W, et al.Faulttolerant adaptive sliding mode control method of tractor automatic steering system[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018,34(10):76-84. (in Chinese)
DENG Z W, ZHANG G H, ZHANG S Q, et al. Cosimulation of handling stability of vehicle equipped with EPS based on humanvehicle closedloop control system [J]. Tractor & Farm Transporter, 2019, 46(5): 21-26,32.(in Chinese)
YUAN J X, ZHANG Q J, HU X L, et al. International competition situation and research focus on unmanned tractors[J]. Agricultural Engineering,2021,11(7):9-16. (in Chinese)
SUN L Z, ZHANG Z G, FU W Q, et al.Comparison test of two automatic steering modes of tractor electrohydraulic and electric motor[J]. Agricultural Mechanization Research, 2021,43(6):253-258. (in Chinese)
[5]
柳泓亦. 拖拉机电动助力转向系统设计与控制研究[D].南京:南京农业大学,2018.
[6]
ZHANG F. Development of an automated guidance system for tracked combine harvester[C]∥The International Conference on Intelligent Agriculture, 2017: 389-399.
LI S C, CAO R Y, JI Y H, et al. Performance analysis and comparison of different types of steering wheel turning control motors in automatic navigation system[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019,50(S1):40-49.(in Chinese)
WANG M L, DUAN J, TANG Y W, et al. Research on agricultural machinery automatic steering system based on fuzzy PID algorithm[J]. Agricultural Mechanization Research, 2018,40(11):241-245.(in Chinese)
WANG S R, YIN C Q, MIAO H Q. Design of automatic control system of tractor front wheel angle[J]. Journal of Chinese Agricultural Mechanization, 2019,40(9):126-130.(in Chinese)
[10]
QI Z, SHI Q, ZHANG H. Tuning of digital PID controllers using particle swarm optimization algorithm for a CANbased DC motor subject to stochastic delays[J]. IEEE Transactions on Industrial Electronics, 2020, 67(7):5637-5646.
[11]
MUGHEES A, MOHSIN S A. Design and control of magnetic levitation system by optimizing fractional order PID controller using ant colony optimization algorithm[J].IEEE Access, 2020,8: 116704-116723.
[12]
MADVAR H R, DEHGHANI M, MEMARZADEH R, et al. Derivation of optimized equations for estimation of dispersion coefficient in natural streams using hybridized ANN with PSO and CSO algorithms[J]. IEEE Access, doi:10.1109/ACCESS.2020.3019362.
[13]
KNYPISKI , NOWAK L. Application of the grey wolf algorithm for optimization of PM synchronous motor[C]∥2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, 2019: 1-2.
[14]
MIRJALILI S, MIRJALILI S M, LEWIS A. Grey wolf optimizer [J]. Advances in Engineering Software, 2014, 69(3): 46-61.
[15]
DEMIRT??塁 M, KARA M R, ERI??塁MI??塁 M A, et al. Performance optimization of a frontend circuit for capacitance measurements using grey wolf algorithm[C]∥2020 Innovations in Intelligent Systems and Applications Conference, 2020: 1-5.