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the most effective way to improve the simulation results is to improve the model itself, different methods established to check the model comparability. Because of the Time-varying, nonlinearity and complexity of the machining process, the traditional PID control has been unable to meet the requirements, which are being high-speed and high-precision, the most active solution methods had been investigated...
In order to save energy and improve the driving distance of electric vehicle, a regenerative braking control strategy based on fuzzy control for the electric vehicle with four in-wheel motors is proposed in this paper. Firstly, the braking force is distributed between front axis and rear axis to ensure the safety and stability of the vehicle. Secondly, the braking force is distributed between hydraulic...
The direct-driven hydraulic drive (DDH) combines the advantages of compact high power of the hydraulic system and flexible control of the electric motor. This paper concentrates on modelling of the direct-driven hydraulic setup and investigating control challenges. In the DDH setup, the speed and position control of a double-acting cylinder is implemented directly with a Synchronous Torque Motor drive...
Voice coil motor (VCM) is a kind of direct drive motor widely used in multidimensional precision machining systems, which is of characteristics with high precision and high frequency response. This paper proposes a servo control system for a novel linear-rotary voice coil motor (LRVCM) which achieves a two-degree-of-freedom motion by one motor. Initially the basic structure of the novel LRVCM is described...
We have been studying an air-jet manipulation technique for controlling the position and posture of a single solid object on a plane surface by manipulating the air flow and angles of multiple air jets. This technique has a highly nonlinear nature caused by the diffusivity of air jets, so that accurate plant modeling is very difficult. Therefore, when the model greatly differs from reality, a problem...
This paper presents the bilateral control of nonlinear teleoperation system represented by Takago-Sugeno (TS) fuzzy models based upon the state convergence methodology. All features of state convergence method proposed for linear bilateral control including the provision of considering the master and slave systems modeled by nth order differential equations, achieving the desired convergence behavior...
Inverted pendulum is a highly non-linear system, which makes it a complex control problem that may be articulated for various real-life applications. Usually, its linearized model is implemented and controlled using a typical Proportional-Integral-Derivate (PID) controller but a different controller is required to control the actual, non-linear model. In the current work, we aim to develop an indigenous...
The design of a fuzzy controller usually requires a lot of fine tuning work in order to guarantee proper operation under all possible circumstances. Moreover, in civil engineering applications this task can be even more complex, due to the special care that should be used to avoid possible costly damages to the specimen structures under test. In this paper, a new design method is outlined which makes...
Fuzzy control algorithms are frequently used in controlling highly nonlinear systems or systems whose mathematical model is difficult to describe. A quadrotor represents a class of flying objects with four rotors symmetrically attached on its construction. As highly nonlinear and unstable system quadrotor is suitable candidate for implementation of fuzzy control. In this paper, we present fuzzy control...
UAV automatic take-off and landing safety issue has been one of the key techniques to restrict its development. In this paper, taking a three-wheel UAV for the subject, ground taxiing modeling and control scheme of taxiing taking-off are studied. The control law designing of taxiing lateral deviation correction and longitudinal control law with the elevator are put forward. Lateral control structure...
Some parameter such as force and speed etc of self-balance two-wheeled robot are nonlinear, so their mathematical model of the control system is difficult to establish. This paper designed a fuzzy immune PD controller, which can achieve self-balance of two-wheeled robot. Through the simulation study, the results show that fuzzy immune PD controller has some advantages compared with the conventional...
Heave compensation system is a new type of automatic control system accompanied by increasing offshore operation; its main purpose is to ensure marine equipment operation not affected by undulating limits, which can normally work under adverse sea conditions. This paper proposes a detection system with high performance, high precision control algorithm of the active heave compensation system, through...
In this paper a metaheuristic for Particle Swarm Optimization (PSO) and two of its variants (inertia weight and constriction coefficient) are used as optimization strategies for designing the membership functions of Fuzzy Control Systems for the water tank and inverted pendulum. Each variant has its own advantages in the algorithm, allowing the exploration and exploitation in different ways and this...
Many research efforts have been made to develop the slider-crank mechanism. Design of a genetic-fuzzy inverse controller for a slider crank mechanism with the piston cylinder drive is studied. This mechanism converts the translating motion into rotating motion. In this approach, the computed torque is implemented to obtain high speed and precise position tracking also; compensation of unknown uncertainties...
The main goal of this investigation is to establish modeling of a squeeze-mode magnetorheological (MR) damper and to design a semiactive fuzzy controller for vibration reduction. To model the MR damper, the Bouc–Wen model has been used in many past studies. However, using the Bouc–Wen model to characterize the squeeze-mode MR damper needs a lookup table of system parameters for the application with...
Using a combination of the cart-seesaw and the inverted pendulum system, this paper presents a novel laboratory apparatus called the cart-pendulum-seesaw (CPS) system. The proposed pneumatic CPS is a classic example of a super articulated mechanical system (SAMS). The resulting system has two inputs: a force applied to the cart and another force applied to the loading cart which tries to balance the...
The inverted pendulum, a highly nonlinear unstable system is used as a benchmark for implementing the control methods. Fuzzy control, one of the intelligent control techniques, uses the human expert knowledge to make control decisions. In this paper the modeling and control design of nonlinear inverted pendulum-cart dynamic system with disturbance input have been presented. Here PID control and fuzzy...
Many key problems of the control system can be effectively reflected by the inverted pendulum system, such as the problem of nonlinear system, robustness, servo system, stabilization and tracking, etc. Any control problem with whose center is above and fulcrum is blow can be approximate into an inverted pendulum model, so the study of inverted pendulum has important practical significance. In this...
Through the analysis of kinematics model on Dead Weight Force Standard Machine (DWM), the mechanics model and the transfer function of system exchange weight (load a weight and unload another weight) are set up, and it is affirmed that the accuracy of weights and the performance of the control system are the main influencing factors of the accuracy of norm force machine(NFM). New solutions are posed...
The simulation of synchronism-balancing hydraulic system of 20MN free forging oil press was done in this paper. The model of fuzzy controller was established by Matlab. The models of hydraulic system and parameters adjustable PID controller were established by AMESim. Then the technologies of co-simulation were used. Simulation results show that the synchronism-balancing hydraulic system can effectively...
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