Variable Cut-Off Frequency Observer-Based Positioning for Ball-Beam Systems Without Velocity and Current Feedback Considering Actuator Dynamics

This paper develops an observer-based positioning scheme for ball-beam systems considering actuator dynamics. The practical constraints are handled systematically, including the mechanical dynamical nonlinearities, mismatched load disturbances, and parameter uncertainties. This result provides contributions as follows. First, parameter-independent observers exponentially estimate the ball velocity, motor speed, and its acceleration to remove the velocity, motor speed, and current feedback. Second, the auto-tuner automatically adjusts the desired closed-loop input-output behaviors to update its cut-off frequency in the transient operations. Third, observer-based active damping injection reduces the closed-loop ball position and actuator speed dynamics to 1 by pole-zero cancellation. Finally, disturbance observers act as a dynamic compensator by estimating the disturbances from model-plant mismatches such as dynamic nonlinearities, mismatched load disturbances, and parameter variations. The experimental study verifies the applicability of the proposed technique using the Quanser Ball-Beam hardware driven by an SRV02 servomotor.

[1]  Jie Li,et al.  On the Necessity, Scheme, and Basis of the Linear–Nonlinear Switching in Active Disturbance Rejection Control , 2017, IEEE Transactions on Industrial Electronics.

[2]  Shaojun Xie,et al.  Active Damping-Based Control for Grid-Connected $LCL$ -Filtered Inverter With Injected Grid Current Feedback Only , 2014, IEEE Transactions on Industrial Electronics.

[3]  Qingling Zhang,et al.  Fuzzy Reduced-Order Compensator-Based Stabilization for Interconnected Descriptor Systems via Integral Sliding Modes , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[4]  Fazal Ur Rehman,et al.  Smooth Second Order Sliding Mode Control of a Class of Underactuated Mechanical Systems , 2018, IEEE Access.

[5]  Wenhai Qi,et al.  Observer-Based Adaptive SMC for Nonlinear Uncertain Singular Semi-Markov Jump Systems With Applications to DC Motor , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[6]  Choon Ki Ahn,et al.  Velocity Observer-Based Nonlinear Self-Tuning Position Stabilizer for Ball-Beam System Applications , 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

[7]  Ronald M. Hirschorn,et al.  Incremental sliding mode control of the ball and beam , 2002, IEEE Trans. Autom. Control..

[8]  Bharat Bhushan,et al.  Real-time control of ball balancer using neural integrated fuzzy controller , 2018, Artificial Intelligence Review.

[9]  P. Kokotovic,et al.  Nonlinear control via approximate input-output linearization: the ball and beam example , 1992 .

[10]  Hing Cheung So,et al.  A Family of Adaptive Decorrelation NLMS Algorithms and Its Diffusion Version Over Adaptive Networks , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[11]  Qing-Long Han,et al.  Path-Following Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization , 2019, IEEE Transactions on Industrial Electronics.

[12]  Aidan O'Dwyer,et al.  Handbook of PI and PID controller tuning rules , 2003 .

[13]  Rachid Mansouri,et al.  Two degrees of freedom fractional controller design: Application to the ball and beam system , 2019 .

[14]  Abolfazl Mohebbi,et al.  Modeling and Control of Ball and Beam System using Model Based and Non-Model Based Control Approaches , 2012 .

[15]  Zongxia Jiao,et al.  Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping , 2014, IEEE Transactions on Industrial Electronics.

[16]  Arun D. Mahindrakar,et al.  Robust Stabilization of a Class of Underactuated Mechanical Systems Using Time Scaling and Lyapunov Redesign , 2011, IEEE Transactions on Industrial Electronics.

[17]  Shing Chow Chan,et al.  A New Variable Forgetting Factor-Based Bias-Compensated RLS Algorithm for Identification of FIR Systems With Input Noise and Its Hardware Implementation , 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.

[18]  Basil Hamed,et al.  Application of a LabVIEW for Real-Time Control of Ball and Beam System , 2010 .

[19]  Naif B. Almutairi,et al.  On the sliding mode control of a Ball on a Beam system , 2009 .

[20]  Zongxia Jiao,et al.  Adaptive Robust Control of DC Motors With Extended State Observer , 2014, IEEE Transactions on Industrial Electronics.

[21]  Jun Wang,et al.  Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation , 2019, IEEE Transactions on Industrial Electronics.

[22]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[23]  María Guinaldo,et al.  The Ball and Beam System: A Case Study of Virtual and Remote Lab Enhancement With Moodle , 2015, IEEE Transactions on Industrial Informatics.

[24]  Qudrat Khan,et al.  A Comparative Experimental Study of Robust Sliding Mode Control Strategies for Underactuated Systems , 2017, IEEE Access.

[25]  Min Wu,et al.  Disturbance Rejection and Control System Design Using Improved Equivalent Input Disturbance Approach , 2020, IEEE Transactions on Industrial Electronics.

[26]  Rahat Ali,et al.  Control of Ball and Beam with LQR Control Scheme using Flatness Based Approach , 2018, 2018 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube).

[27]  Xiaoou Li,et al.  Synchronization of ball and beam systems with neural compensation , 2010 .

[28]  Yang Liu,et al.  Periodic Event-Triggered Adaptive Control for Attitude Stabilization Under Input Saturation , 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.