Adaptive PID control scheme for full car suspension control

2015 ◽  
Vol 39 (2) ◽  
pp. 169-185 ◽  
Author(s):  
Laiq Khan ◽  
Shahid Qamar ◽  
Umair Khan
Keyword(s):  
Pid Control ◽  
Car Suspension ◽  
Control Scheme ◽  
Suspension Control ◽  
Adaptive Pid Control

Uniform ultimate bounded robust model reference adaptive PID control scheme for visual servoing

2017 ◽  
Vol 354 (4) ◽  
pp. 1741-1758 ◽  
Author(s):  
Raaja Ganapathy Subramanian ◽  
Vinodh Kumar Elumalai ◽  
Selvakumar Karuppusamy ◽  
Vamsi Krishna Canchi
Keyword(s):  
Pid Control ◽  
Visual Servoing ◽  
Model Reference ◽  
Robust Model ◽  
Control Scheme ◽  
Adaptive Pid Control ◽  
Model Reference Adaptive

Single Neuron Adaptive PID Control of the Silicon-Based Integrated Micro Nano-Positioning XY-Stage

2009 ◽  
Vol 60-61 ◽  
pp. 207-212
Author(s):  
Jia Chou Wang ◽  
Wei Bin Rong ◽  
Li Ning Sun ◽  
Xin Xin Li
Keyword(s):  
Pid Control ◽  
Single Neuron ◽  
Displacement Sensor ◽  
Robust Controller ◽  
Dynamical Characteristics ◽  
Repeatability Error ◽  
Control Scheme ◽  
Silicon Based ◽  
Adaptive Pid Control ◽  
Better Than

An integrated micro xy-stage is designed and fabricated for application in nanometer-scale operation and nanometric positioning precision. This device integrates the functions of both actuating and sensing in the same silicon ship and is mainly composed of a silicon-based xy-stage, electrostatics comb actuator and a displacement sensor. In this paper a robust control strategy based on single neuron adaptive PID control theory is developed for silicon-based xy-stage, considering electrical, mechanical, and stiffness models. Single neuron adaptive PID control enables compact realization of a robust controller tolerant of device characteristics variation, types of inherent instabilities, and improving dynamical characteristics. The experimental results verified that the controller is more suitable for the silicon integrated micro xy-stage, under which the settling time is less than 2.5ms and the repeatability error is better than ±24.9nm. In addition, the presented control scheme is simple to implement in practical application.

Optimization on motion-robust and energy-saving controller for hydraulic penetration system of seabed equipment

2020 ◽  
pp. 147509022097042
Author(s):  
Gang Xue ◽  
Yanjun Liu ◽  
Lei Guo ◽  
Baohua Liu
Keyword(s):  
Pid Control ◽  
Deep Sea ◽  
Disturbance Rejection ◽  
Hydraulic System ◽  
Seabed Sediment ◽  
Load Disturbance ◽  
Control Scheme ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

Deep-sea Cone Penetration Test equipment (CPT) and In-Situ Sediment Acoustic Measurement System (ISSAMS) driven by hydraulic penetration system are the important equipment for in-situ detection of seabed sediment. The problems, such as poor position following precision and weak load disturbance rejection performance of the actuator in the hydraulic penetration system are common in the working process of deep-sea CPT and ISSAMS. In this paper, the self-developed deep-sea ISSAMS is taken as the example and various hydraulic penetration system models are established. Most importantly, an optimized control scheme, the fuzzy adaptive PID control scheme with pre-optimization based on genetic algorithm, is presented. To compare with the switch valve controlled hydraulic system used in the ISSAMS physical prototype, the PID control scheme and the fuzzy adaptive PID control scheme are designed as well. It shows that the proportional valve controlled hydraulic system has better position following precision and load disturbance rejection performance than the switch valve controlled hydraulic system and the pump controlled hydraulic system, with more than 95% improvement. The optimized control scheme will further improve the motion-robust performance. Besides, the energy conservation problem is discussed by comparing power requirement and energy consumption of different hydraulic system model and different control scheme. It shows that the pump controlled hydraulic system with the optimized control scheme is the most energy-efficient combination. This paper will have certain reference value to hydraulic penetration system design and motion controller design for deep-sea CPT and ISSAMS equipment.

scholarly journals Analisis Pengaturan Quarter-Car Active Suspension Menggunakan Neuro-Fuzzy Adaptif PID Control

2021 ◽  
Vol 6 (4) ◽  
pp. 203
Author(s):  
Aprildy Randy Andrew Ferdinandus ◽  
Santo Junital Bumbungan
Keyword(s):  
Pid Control ◽  
The Body ◽  
Road Surface ◽  
Car Body ◽  
The Road ◽  
Car Suspension ◽  
Neuro Fuzzy ◽  
Road Surfaces ◽  
Improved Performance ◽  
Adaptive Pid Control

Car as a vehicle has a suspension on the wheels that connect the body with the road surface. The suspension is arranged in such way as to ensure the comfort in driving even on uneven road surfaces or damaged road surfaces. Because of the changes in road surface, it is very important to make adjustments to the suspension. The car suspension is adjusted using Neuro-Fuzzy Adaptive PID Control System so that the performance of the suspension can be improved in ensuring user comfort by reducing vibrations in the car body. Improved performance can be seen in the results of the suspension setting, which can suppress the movement of the car body because of the change in road surface more than 80%.

Models of a hybrid wheeled hopping self-balanced robot

2021 ◽  
pp. 095440622098419
Author(s):  
Qimin Li ◽  
Haibing Zeng ◽  
Long Bai ◽  
Zijian An
Keyword(s):  
Pid Control ◽  
Motion Pattern ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Swarm Optimization ◽  
Hopping Robot ◽  
Control Scheme ◽  
Hopping Robots ◽  
Hybrid Motion ◽  
Classical Control

Combining wheeled structure with hopping mechanism, this paper purposes a self-balanced hopping robot with hybrid motion pattern. The main actuator which is the cylindrical cam, optimized by particle swarm optimization (PSO), is equipped with the motor to control the hopping motion. Robotic system dynamics model is established and solved by Lagrangian method. After linearization, control characteristics of the system is obtained by classical control theory based on dynamics equations. By applying Adams and Matlab to simulate the system, hopping locomotion and self-balanced capability are validated respectively, and result shows that jump height can reach 750 mm theoretically. Then PID control scheme is developed and specific models of hardware and software are settled down accordingly. Finally, prototype is implemented and series of hopping experiments are conducted, showing that with different projectile angle, prototype can jump 550 mm in height and 460 mm in length, transcending majority of other existing hopping robots.

Pressing speed stability control of a special ceramic roller bearing press based on fuzzy adaptive PID

2021 ◽  
pp. 1-16
Author(s):  
Lijie Yang ◽  
Guimei Wang ◽  
Huadong Zhang ◽  
Jiehui Liu ◽  
Yachun Zhang
Keyword(s):  
Pid Control ◽  
Simulation Analysis ◽  
Roller Bearing ◽  
Speed Control ◽  
Stability Control ◽  
Interference Signal ◽  
Ceramic Roller ◽  
Speed Stability ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

A special ceramic roller bearing press (SCRBP) is developed to press two bearings efficiently and precisely at the same time. A speed control mathematical model of the bearing press is built to obtain stability bearing pressing speed. The fuzzy adaptive PID controller of the bearing pressing speed of SCRBP is designed. The simulation model is also built. Fuzzy adaptive PID control is compared with conventional PID control. By simulation analysis, the simulation results show that adjusting time of fuzzy adaptive PID control is short, and its overshoot is very small, almost coincides with the set pressing speed. Moreover, fuzzy adaptive PID is suitable for the pressing speed control of the bearing pressing speed system with step interference signal. The pressing stability speed is obtained by fuzzy adaptive PID control.

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