Development of friction free controller for electro-hydrostatic actuator using feedback modulator and disturbance observer

Hydraulic actuators have high power-to-weight ratios, making them suitable for high-power robotic applications such as in walking robots and construction machines. However, large frictional forces in hydraulic actuators, rotary hydraulic actuators in particular, degrade the control performance. To suppress frictional forces and increase robustness against modeling errors, this study considered the integration of feedback modulators (with minimum control inputs exceeding static frictional forces) with disturbance observers. In the proposed controller, nonlinear static frictional forces are suppressed by the feedback modulators and linear disturbances are suppressed by the disturbance observers. The validity was experimentally verified in this study.

[1]  Shun-ichi Azuma,et al.  Synthesis of Optimal Dynamic Quantizers for Discrete-Valued Input Control , 2008, IEEE Transactions on Automatic Control.

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

[3]  Kiyoshi Ohishi,et al.  FPGA-Based High-Performance Force Control System With Friction-Free and Noise-Free Force Observation , 2014, IEEE Transactions on Industrial Electronics.

[4]  Zongxia Jiao,et al.  Adaptive Control of Hydraulic Actuators With LuGre Model-Based Friction Compensation , 2015, IEEE Transactions on Industrial Electronics.

[5]  Tae-Hyung Kim,et al.  HYDRAULIC SERVO SYSTEM USING A FEEDBACK LINEARIZATION CONTROLLER AND DISTURBANCE OBSERVER - SENSITIVITY OF SYSTEM PARAMETERS - , 2008 .

[6]  Kouhei Ohnishi,et al.  Motion control for advanced mechatronics , 1996 .

[7]  Masato Ishikawa,et al.  Quantized Controller Design Using Feedback Modulators , 2007 .

[8]  Hiroshi Kaminaga,et al.  Development of backdrivable hydraulic joint mechanism for knee joint of humanoid robots , 2009, 2009 IEEE International Conference on Robotics and Automation.

[9]  Bin Yao,et al.  Integrated Direct/Indirect Adaptive Robust Control of Hydraulic Manipulators With Valve Deadband , 2011, IEEE/ASME Transactions on Mechatronics.

[10]  Yuki Minami,et al.  Multirate-Sampling Dynamic Quantizers for Non-minimum Phase Linear Control Systems , 2009 .

[11]  Cheng Guan,et al.  Nonlinear Adaptive Robust Control of Single-Rod Electro-Hydraulic Actuator With Unknown Nonlinear Parameters , 2008, IEEE Transactions on Control Systems Technology.

[12]  Chung Choo Chung,et al.  High-Gain Disturbance Observer-Based Backstepping Control With Output Tracking Error Constraint for Electro-Hydraulic Systems , 2015, IEEE Transactions on Control Systems Technology.

[13]  Amitava Chatterjee,et al.  Design of an Adaptive Fuzzy-Bias SMC and Validation for a Rugged Electrohydraulic System , 2015, IEEE/ASME Transactions on Mechatronics.

[14]  Triet Hung Ho,et al.  Speed Control of a Hydraulic Pressure Coupling Drive Using an Adaptive Fuzzy Sliding-Mode Control , 2012, IEEE/ASME Transactions on Mechatronics.

[15]  Toshiaki Tsuji,et al.  Integration of disturbance observer and feedback modulator for dead zone compensation of hydraulic actuator , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[16]  Yasuyoshi Yokokohji,et al.  Control of Hydraulic Actuator Systems Using Feedback Modulator , 2008, J. Robotics Mechatronics.