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This paper develops an adaptive proportional-integral-derivative (APID) control system to deal with the metallic sphere position control of a magnetic levitation system (MLS), which is an intricate and highly nonlinear system. The proposed control system consists of an adaptive PID controller and a fuzzy compensation controller. The adaptive PID controller is a main tracking controller, and the parameters...
Loom warp tension had a significant impact on the quality of fabric. In order to better control warp tension of rapier loom and prevent negative impacts on the quality of the fabric by reason of the excessive fluctuation. This paper took let-off system of SAURER400 rapier loom as experimental subject and adopted the simulation system of MATLAB to check up the advantage and disadvantage of three kinds...
In this paper different approach of adaptation mechanism for fuzzy model reference learning control (FMRLC) method will be introduced. In contrast to original method the proposed procedure guarantees continuity of the fuzzy controller that in reward results in its smooth input-output behaviour (mapping) that eliminates undesirable abrupt changes in the control signal. Additionally, the proposed method...
In order to overcome the shortcomings of the nonlinear, time-delay and time-varying problems in the sewage treatment system based on biological fluidized bed (BFB), a modified T-S model fuzzy adaptive control system based on genetic algorithm (GA) is proposed. In the system, firstly using GA to optimize the membership functions, then reducing the dimension of fuzzy controller and simplifying the rules...
In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model is considered in the context of control system design. As a result, an H∞ approach to adaptive controller that consists of two parts: one is obtained by solving certain linear matrix inequalities (LMIs) (fixed part) and another one is acquired by the fuzzy approximator in which the related parameters...
Fuzzy control has recently found extensive application for a wide variety of industrial systems and consumer products and has attracted the attention of many control researchers due to its model-free approach. In this paper, a reinforcement adaptive fuzzy control system based on Matlab's graphical user interface(GUI) is developed. In addition the reinforcement algorithm is presented, the binary reinforcement...
Fuzzy logic based control systems provide a simple and efficient method to control highly complex and imprecise systems. However, the lack of a simple hardware design that is capable of modifying the fuzzy controller's parameters to adapt for any changes in the operation environment, or behavior of the plant system limits the applicability of fuzzy based control systems in the automotive and industrial...
A fuzzy modeling approach based on on-line potential clustering is presented for a family of complex MIMO systems with severe nonlinearity and strong coupling such as a hovering submarine. The structure of the fuzzy model is defined as special group of If-Then rules with real constant consequents which is expressed as a feed-forward fuzzy neural network identified by on-line clustering and first order...
A fuzzy robust adaptive control design scheme is developed for a class of uncertain non-affine system represented by input-output models. Fuzzy logic systems and Nussbaum control technique are used to approximate the unknown part of the discussed system and to settle the problem that is due to unknown control direction, respectively. Based on the Lyapunov stability theory, it is proved that with the...
As the near space atmospheric environment is complicated and variational, aircraft electric propulsion system parameters and load characteristics of the propeller will be changed, if the control method of electric propulsion system shall not be treated, the system stability and reliability will be affected. A novel double close loops control method with current and speed was presented in this paper,...
In recent years the area of nonlinear control systems has been the subject of many studies. Computational developments have enabled more complex applications to provide solutions to nonlinear problems. The purpose of this paper is to use a combination of two techniques to control a nonlinear system: the Magnetic Levitation System. First, the exact linearization technique with state feedback is applied...
In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model is considered, and fuzzy approximator is employed to cope with the reconstruction error. As a result, it reaches an adaptive controller that has two parts: one is obtained by solving certain linear matrix inequalities (LMIs) (fixed part) and another one is acquired by the fuzzy approximator in...
In general, an adaptive fuzzy PID controller (AF-PIDC) means that the PID parameters are adjusted by fuzzy rules in real-time. In this paper, the controller is functionally divided into three operating units which are the proportional operating unit, the integral operating unit, and the derivative operating unit. The inputs of the controller are composes of two kinds of signals. The main input signal...
Considering the characteristics of the time-delay, inertia and time-varying of DO control in the wastewater treatment, and on the basis of analyzing the defects on general PID control and Fuzzy Smith-PID control, one kind of ADRC controller is proposed in the wastewater treatment control system, Through the simulation experiment and comparing with general PID and Fuzzy Smith-PID control, the result...
Because of complex operating environment and bad road conditions, how to guarantee that engineering vehicles can adapt the operating environment and run reliably, has become the hot spot attention topic of researchers and manufacturers. This paper focuses on the five freedom degrees model of engineering vehicle, and theory and structure of semi-active suspension. Based on the previous control strategies,...
In this manuscript, we propose an adaptive fuzzy logic controller for a DC-DC boost converter with parametric and load uncertainties. The control strategy aims to achieve accurate voltage tracking with unknown dynamics, highly parameter and load variations, and no current sensing. Therefore, robustness to uncertainties of large magnitudes is achieved without the inner current control loop, which reduces...
Considering the difficulty of getting accurate forward and inverse models of object in the majority of practical plants with IMC, A modeling technique based on C-R fuzzy step model for nonlinear systems is introduced. On that basis, nonlinear fuzzy internal model control (FIMC) design based on C-R fuzzy step model is studied. Because there is the model mismatch problem between the identified forward...
This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty, high order and hysteresis, this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum...
In this paper, the problem of identification and control of uncertain nonlinear systems is investigated based on fuzzy neural network. The considered systems are unknown and with external disturbances, so fuzzy neural networks are employed to approximate the unknown system functions. By doing this, an identification model of the controlled system can be obtained. Based on this model, a controller...
The vibration of engineering vehicle during operation greatly increased driver's labour intensity for the road condition is bad. Therefore, based on the PID control and adaptive fuzzy PID control, the paper establishes semi-active suspension model of engineering vehicle and compares vibration control and suspension performance among the semi-active suspensions, taking engineering vehicle as the study...
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