Mathematical modelling of ball and plate system with experimental and correlation function-based model validation

被引:2
|
作者
Kumar, T. R. Dil [1 ]
Mija, S. J. [1 ]
机构
[1] Natl Inst Technol Calicut, Dept Elect Engn, Kozhikode 673601, Kerala, India
关键词
Ball and plate system; Correlation function; Model validation; Particle swarm optimization (PSO); PSO PID controller; PARTICLE SWARM; IDENTIFICATION; CONTROLLER; STABILITY; SCHEME; DESIGN;
D O I
10.1007/s11768-024-00208-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ball and plate system is an inherently nonlinear under actuated benchmark system used for validating the performance of various control schemes. A mathematical model depicting the dynamics close to that of the system is very much required for such a test bed. In this correspondence, the complete nonlinear model, a simplified nonlinear model, and a linearized model of the ball and plate system are developed. The system comprises a ball and plate mechanism and a rotary servo unit. The ball and plate mechanism is modelled using the Euler-Lagrange method, whereas the rotary servo subsystem is modelled from the first principles. The nonlinear model of the combined system is developed by including the dynamics of the servo motor with gear and rolling resistance between the ball and the plate. The simplified nonlinear model of the system is obtained with suitable assumptions. The model is linearized around the operating point using the Jacobian. The validity of the developed models is investigated through correlation function analysis. The open-loop response of the three models, viz., nonlinear, simplified nonlinear, and linearized models, is analyzed in the MATLAB/Simulink platform. Since the open-loop system is unstable, the experimental validation of the model is performed with a double-loop PSO (particle swarm optimization) PID control scheme.
引用
收藏
页码:326 / 341
页数:16
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