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Fuzzy_PID_Control_of_Stepping_Motor
- 摘要:由于步进电动机调速系统具有非线性等特点,使得利用简单模糊控制与传统PID控制精度不高,因此文中提出利用模 糊PID控制器实现对步进电动机调速系统进行控制的方法,并设计了模糊PID控制器。文中首先建立了步进电动机的数学 模型,并根据数学模型推导了其传递函数 然后介绍了模糊PID控制器结构,以及模糊控制规则的生成方法,并且对该控制 方案进行数字仿真。仿真结果表明:该方法调节精度较高,动态响应快,无超调,有一定的可行性。 -Abstract: As the stepper mot
A_real-time_adaptive_PID_controller_step_motor
- 传统PID控制器通常难以满足多变量、非线性、强耦合的步进电机动态响应和精 确调速要求,结合传统PID控制和模糊控制及遗传算法(GA)整定PID参数的优点,设计基于 模糊遗传算法的实时自适应步进电动机PID控制器,充分发挥传统和智能控制策略各自的优 势。仿真结果表明,该实时自适应步进电动机PID控制器,具有很好的自适应能力和抗负载扰 动能力。在稳定性、动态速度响应诸方面均优于传统的PID控制器和模糊控制器,系统达到了 较高调速性能和控制精度。 -Traditional PI
ICA8052
- We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented confirming the performance of the track
2005_FUZZY05(EmbeddedType2FLC)
- Marine and Traction propulsion systems operate in highly dynamic and uncertain control environments. The current speed controllers for marine/traction propulsion systems are based on PID and type-1 Fuzzy Logic Controllers (FLCs) which ca
Adaptive-control-of-robot-manipulator-using-fuzzy
- This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonline
1997FLSROBOTIEEE_T_SMC
- Abstract—Owing to load variation and unmodeled dynamics, a robot manipulator can be classified as a nonlinear dynamic system with structured and unstructured uncertainties. In this paper, the stability and robustness of a class of the fuzzy log
45TOAUTOCJ
- Robust Fuzzy Fault Detection for Non-Linear Stochastic Dynamic Systems
Sliding-Mode-Control
- 系统论述了滑模变结构控制的基本理论、基本方法和应用技术，并全部给出了MATLAB仿真分析。全书内容涵盖了滑模变结构控制发展综述、连续系统滑模控制、自适应鲁棒滑模控制、欠驱动系统滑模控制、反演及动态面滑模控制、基于滤波器及观测器的滑模控制、离散系统滑模控制、模糊滑模控制、神经滑模控制和机械手滑模控制等。-The basic theory, basic method and application technology of sliding mode variable structure contr
20170609080945510
- type-2 fuzzy controllers (T2FLC) are designed to control position of yaw and pitch angles of the Twin Rotor Multi-input Multi-output System (TRMS) characterized with nonlinear dynamics and uncertainties
barbosa2016
- Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
c72e5dd2127eecc688cd6c5d0299e28b3ab1
- This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm