scholarly journals Principle of Stable Running of an Unicycle Robot

2002 ◽  
Vol 14 (1) ◽  
pp. 37-45
Author(s):  
Takayuki Tanaka ◽  
◽  
Hisanobu Suzuki ◽  
Kazuo Tanaka
Keyword(s):  
Control System ◽  
Postural Stability ◽  
Control Method ◽  
Power Source ◽  
Motor Drives ◽  
Direction Control ◽  
Simulation Results ◽  
Electric Cables ◽  
The Stability ◽  
Extension Cable

In previous papers, we reported the world's first success in the driving of a human-riding-type unicycle with postural stability. However, the robotic unicycle was connected with a computer, motor drives, and a power source through electric cables. It was made clear by our experiments that the stability and dynamic behavior of the unicycle were largely affected by these extension cables, and the driving distance was also limited. This paper reports the development of an extension cable-less unicycle including the design of its control system and the principle of unicycle running. Firstly, an improved unicycle without extension cables is designed. Secondly, the principle of unicycle running is elucidated by simulations and experiments using the developed robot. Lastly, we propose a new control method including yaw-direction control. Experimental and simulation results show that the proposed method is effective for the developed unicycle robot to realize human-like stable motions.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Design and Implementation of Large-Scale Temperature Stability Control System

2014 ◽  
Vol 644-650 ◽  
pp. 313-316
Author(s):  
Wen Lai Liu
Keyword(s):  
Control System ◽  
System Design ◽  
Large Scale ◽  
Control Method ◽  
Temperature Stability ◽  
Stability Control ◽  
Control System Design ◽  
Scale Temperature ◽  
Stability Control System ◽  
The Stability

large-scale temperature stability control method is studied in this paper. In the process of large-scale temperature control, the stability of control is a very important indicator. To this end, this paper proposes a large-scale temperature stability control algorithm based on hierarchical control method. Balance equation of large-scale temperature stability control is created for the effective transmission of control data. According to the constant control theory, large-scale temperature stability control system design is achieved. Experimental results show that the proposed algorithm for large-scale temperature stability control system design, can greatly improve the stability of control, and get the satisfactory results.

The Study of Optimal Fuzzy PID-Smith Control Based on Genetic Algorithm

2013 ◽  
Vol 313-314 ◽  
pp. 448-452
Author(s):  
Dian Ting Liu ◽  
Hai Xia Li
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Control Method ◽  
Order System ◽  
Membership Functions ◽  
Fuzzy Pid ◽  
Improved Genetic Algorithm ◽  
Simulation Results ◽  
The Stability ◽  
Better Than

In this paper, the improved genetic algorithm is applied to optimize the quantization factors and the scaling factors of fuzzy control, and the optimized rule table and membership functions is obtained according to certain performances. Then a kind of optimal fuzzy PID-Smith control method based on genetic algorithm is proposed and its simulation model is built in this paper, a second-order system is simulated and analyzed. The results show that requirements of deterministic performances of the new control method are better than the conventional methods through the simulation results in the stability, rapidity and robustness.

Improvement Shifting Control of Continuously Variable Transmission (CVT) by Using PID, Pole Placement and LQG

2013 ◽  
Vol 446-447 ◽  
pp. 1165-1170
Author(s):  
Shu Yuan Ma ◽  
Bdran Sameh ◽  
Saifullah Samo ◽  
Aymn Bary
Keyword(s):  
Control System ◽  
Control Method ◽  
Operating Conditions ◽  
Pole Placement ◽  
Speed Ratio ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Variable Transmission ◽  
Simulation Results ◽  
Pole Placement Controller

In this paper, the CVT shifting control system based on vehicle operating conditions is modeled and simulated using MATLAB/SIMULINK. The modeling stage begins with the derivation of required mathematical model to illustrate the CVT shifting control system. Then, Linear Quadratic Gaussian (LQG), Proportional- Integrated-Derivative (PID) and Pole Placement are applied for controlling the shifting speed ratio of the modeled CVT shifting system. Simulation results of shifting controllers are presented in time domain and the results obtained with LQG are compared with the results of PID and Pole placement technique. Finally, the performances of shifting speed ratio controller systems are analyzed in order to choose which control method offers the better performance with respect to the desired speed ratio. According to simulation results, the LQG controller delivers better performance than PID and Pole Placement controller.

PID Control Based Missile Sub-Channel Simulation

2012 ◽  
Vol 433-440 ◽  
pp. 7011-7016 ◽  
Author(s):  
Chao Bo Chen ◽  
Bing Liu ◽  
Ning He ◽  
Song Gao ◽  
Quan Pan
Keyword(s):  
Control System ◽  
Real Time ◽  
Flight Control ◽  
Pid Control ◽  
Pid Controller ◽  
Channel Model ◽  
Control Method ◽  
Flight Control System ◽  
Aerodynamic Control ◽  
The Stability

The accuracy and real-time of modern missile flight control system of traditional aerodynamic can not be satisfied. In this paper a new method is presented to improve the accuracy and real-time of missiles under this condition. First of all, a missile sub-channel model of the dynamic equations and steering gear is established, then based on the established model, using PID controller to control steering gear and three channels of missile pitch, yaw, roll respectively which is called missile sub-channel PID control method, and finally making use of MATLAB/Simulink to complete the simulation. Simulation results show that compared with traditional aerodynamic control system, this method can reduce the response time of aerodynamic missile and enhance the stability of the control system obviously.

scholarly journals A neural network combined with sliding mode controller for the two-wheel self-balancing robot

2021 ◽  
Vol 10 (3) ◽  
pp. 592
Author(s):  
Duc-Minh Nguyen ◽  
Van-Tiem Nguyen ◽  
Trong-Thang Nguyen
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Sliding Mode Controller ◽  
Control Laws ◽  
Noise Compensation ◽  
Simulation Results ◽  
Balancing Robot ◽  
The Stability

This article presents the sliding control method combined with the selfadjusting neural network to compensate for noise to improve the control system's quality for the two-wheel self-balancing robot. Firstly, the dynamic equations of the two-wheel self-balancing robot built by Euler–Lagrange is the basis for offering control laws with a neural network of noise compensation. After disturbance-compensating, the sliding mode controller is applied to control quickly the two-wheel self-balancing robot reached the desired position. The stability of the proposed system is proved based on the Lyapunov theory. Finally, the simulation results will confirm the effectiveness and correctness of the control method suggested by the authors.

Fractional PIλDμ Control for Steer-by-Wire System

2011 ◽  
Vol 279 ◽  
pp. 423-428 ◽  
Author(s):  
Jie Tian ◽  
Jin Wu ◽  
Ning Chen
Keyword(s):  
Control System ◽  
Control Method ◽  
Optimization Method ◽  
Front Wheel ◽  
Design Parameters ◽  
Computational Simulations ◽  
System A ◽  
Steer By Wire ◽  
Simulation Results ◽  
Wire System

According to the design demands of the steer-by-wire system, a PIlDm controller based on fractional calculus was proposed. Aligning controller and steering controller were respectively designed to achieve the aligning and steering function of the front wheel steering module, which can ensure the robust of the steer-by-wire system during the special ranges of frequency. The five design parameters of fractional PIlDm controller were achieved by optimization method. Oustaloup method was used to approximate the fractional PIlDm controller and simulation model was achieved, which can be used in Matlab/Simulink. Computational simulations of the control system were carried out and simulation results showed the effectiveness of the control method to improve the robust of the steering-by-wire system.

Study of Commercial Vehicle Active Seat Suspension

2013 ◽  
Vol 441 ◽  
pp. 641-644
Author(s):  
Gong Yu Pan ◽  
Hai Yang ◽  
Yong Tian Liu
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Commercial Vehicle ◽  
Control Method ◽  
Simulation Models ◽  
Seat Suspension ◽  
Optimal Control Method ◽  
Simulation Results ◽  
Set Up ◽  
Vehicle Seat

A 7-DOF half-car dynamic model which includes the cab mounting system and seat suspension system was established to study the performance of active seat suspension. The optimal control method was applied to design the active control system. Two dynamic simulation models of the passive seat suspension and the active seat suspension were set up by Matlab/Simulink, and the performance of the passive and active seat system was simulated in the time and frequency domain. The simulation results show that the active seat suspension can greatly improve the vehicle seat performance and the study has supplied the academic reference in the applications of the active seat suspension.

Research on Control System of Gearless Permanent Magnet Synchronous Traction Elevator

2011 ◽  
Vol 383-390 ◽  
pp. 5945-5950
Author(s):  
Yan Hu ◽  
Zhen Guang ◽  
Xiao Yu Wang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Permanent Magnet ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Control Method ◽  
Modulation Method ◽  
Driving System ◽  
Simulation Results ◽  
The Mathematical Model

A driving system for gearless traction machine plays an very important role in controlling elevator’s running. And its performances have a direct effect on the elevator’s performance. On the basic of the mathematical model of the gearless permanent magnetic synchronous machine (PMSM), id=0 vector control method and space vector pulse width modulation method are used in the control system. Then making a simulation on the system designed by MATLAB/SIMULINK. The simulation results show that the control method is feasible.

The Optimum Adaptive Cooperative Control of the Vehicle Steering and Anti-Lock Braking System

2013 ◽  
Vol 387 ◽  
pp. 288-291
Author(s):  
Guo Li ◽  
Huan Liu
Keyword(s):  
Control System ◽  
Cooperative Control ◽  
Control Algorithm ◽  
Analytical Form ◽  
Error Model ◽  
Braking System ◽  
Simulation Results ◽  
Antilock Braking ◽  
The Stability

In this paper, a new two-level cooperative control system is proposed for the vehicles steering antilock braking stability fields. The architecture is composed with the execution layer with anti-lock brake control system and the cooperation layer developed on a new cooperative error model. It is quite feasible because of its analytical form. Finally, the stability and the validity of the control algorithm are validated by simulation results.

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