多枚倾斜转弯导弹的滚转通道之分布式有限时间姿态协调控制

对多枚倾斜转弯(BTT)导弹设计滚转通道自动驾驶仪时,基于分布式协调控制理论,本文提出了一类分布式有限时间姿态协调控制器.由于BTT导弹的气动参数变化强烈、机动要求高,要求控制器响应速度高,抗干扰能力强.本文基于有限时间控制技术,并结合多智能体系统的协调控制理论,对多枚BTT导弹滚转通道提出了一种分布式有限时间姿态协调控制律.在该控制律作用下,所有的BTT导弹通过相互协调,其滚转角可以在有限时间内达到一致并为给定的参考指令信号.仿真结果表明了该方法的有效性.     

基于干扰补偿的BTT导弹自动驾驶仪抗尖峰滑模控制器设计

为了提高BTT导弹自动驾驶仪在非匹配干扰影响下的系统性能,提出一种新型基于干扰补偿的抗尖峰滑模控制器(PDOSMC).所提出的PDOSMC不仅不需要非匹配干扰满足$H_2$假设,还有效解决了高观测增益下估计尖峰引起现有干扰补偿滑模控制器(DOSMC)控制性能下降的问题.仿真结果表明,在都选取高观测增益的情况下,PDOSMC算法不仅能够取得与现有DOSMC算法相同的高控制精度,而且能够避免DOSMC算法中由估计尖峰所带来的控制饱和以及跟踪误差振荡.     

Optimal coupled and decoupled perimeter control in one-region cities

Perimeter controllers, located at a regional border, can manipulate the transfer flows across the border to optimize the regional operational performance. The macroscopic fundamental diagram (MFD), that relates average flow with accumulation, is used to model the traffic flow dynamics. In this paper, two cases of perimeter control inputs are considered: coupled and decoupled control. For both cases, the explicit formulations of the optimal feedback control policies and proofs of optimality are provided for three criteria. The proofs are based on the modified Krotov-Bellman sufficient conditions of optimality, where the upper and lower bounds of state variables are calculated.     

Adaptive critic autopilot design of bank-to-turn missiles using fuzzy basis function networks.

A new adaptive critic autopilot design for bank-to-turn missiles is presented. In this paper, the architecture of adaptive critic learning scheme contains a fuzzy-basis-function-network based associative search element (ASE), which is employed to approximate nonlinear and complex functions of bank-to-turn missiles, and an adaptive critic element (ACE) generating the reinforcement signal to tune the associative search element. In the design of the adaptive critic autopilot, the control law receives signals from a fixed gain controller, an ASE and an adaptive robust element, which can eliminate approximation errors and disturbances. Traditional adaptive critic reinforcement learning is the problem faced by an agent that must learn behavior through trial-and-error interactions with a dynamic environment, however, the proposed tuning algorithm can significantly shorten the learning time by online tuning all parameters of fuzzy basis functions and weights of ASE and ACE. Moreover, the weight updating law derived from the Lyapunov stability theory is capable of guaranteeing both tracking performance and stability. Computer simulation results confirm the effectiveness of the proposed adaptive critic autopilot.     

Distributed model predictive control of dynamically decoupled systems with coupled cost

This paper considers the distributed model predictive control (DMPC) of systems with interacting subsystems having decoupled dynamics and constraints but coupled costs. An easily-verifiable constraint is introduced to ensure asymptotic stability of the overall system in the absence of disturbance. The constraint introduced has a parameter which allows for the performance of the DMPC system to approach that controlled by a centralized model predictive controller. When the subsystems are linear and additive disturbance is present, the added constraint ensures the state of each subsystem converges to its respective minimal disturbance invariant set. The approach is demonstrated via several numerical examples.     

Singularity-robust decoupled control of dual-elbow manipulators

The ability of a robot manipulator to move inside its workspace is inhibited by the presence of joint limits and obstacles and by the existence of singular positions in the configuration space of the manipulator. Several kinematic control strategies have been proposed to ameliorate these problems and to control the motion of the manipulator inside its workspace. The common base of these strategies is the manipulability measure which has been used to: (i) avoid singularities at the task-planning level; and (ii) to develop a singularity-robust inverse Jacobian matrix for continuous kinematic control. In this paper, a singularity-robust resolved-rate control strategy is presented for decoupled robot geometries and implemented for the dual-elbow manipulator. The proposed approach exploits the decoupled geometry of the dual-elbow manipulator to control independently the shoulder and the arm subsystems, for any desired end-effector motion, thus incurring a significantly lower computational cost compared to existing schemes.     

An adaptive H/sup /spl infin// controller design for bank-to-turn missiles using ridge Gaussian neural networks

A new autopilot design for bank-to-turn (BTT) missiles is presented. In the design of autopilot, a ridge Gaussian neural network with local learning capability and fewer tuning parameters than Gaussian neural networks is proposed to model the controlled nonlinear systems. We prove that the proposed ridge Gaussian neural network, which can be a universal approximator, equals the expansions of rotated and scaled Gaussian functions. Although ridge Gaussian neural networks can approximate the nonlinear and complex systems accurately, the small approximation errors may affect the tracking performance significantly. Therefore, by employing the H/sup /spl infin// control theory, it is easy to attenuate the effects of the approximation errors of the ridge Gaussian neural networks to a prescribed level. Computer simulation results confirm the effectiveness of the proposed ridge Gaussian neural networks-based autopilot with H/sup /spl infin// stabilization.     

Nonlinear adaptive control design for ship-to-ship missiles

Ship-to-ship missiles have relatively large weight and complex cross couplings between each channel and, practically, the aerodynamic uncertainties also make it difficult to analyze and control it. In this paper, an approximate missile model is presented with parametric affine structure applicable to all operating points. An approximate minimum phase dynamics is also derived. The uncertainties in aerodynamic forces are modeled into parametric form to design a nonlinear adaptive controller.     

Design of decoupled non-linear multivariable stochastic control systems

A technique is presented for decoupling a non-linear system with input disturbance, The class of matrices which decouple the nominal system is first obtained. Then, the free parameters in the feedback matrix are selected to minimize the effect of disturbances on the output by minimizing a performance index which involves the input-output error magnitude. An example is presented to illustrate the approach.     

Contribution to the decoupled control of large-scale mechanical systems

This paper presents the concept of decomposition as applied to the control synthesis of multivariable mechanical systems, in which the coupling among the subsystems can be very strong. The system class considered contains subsystems with powered degrees of freedom, as well as subsystems without their own actuators. Global control is introduced to diminish the influence of coupling on the stability of the whole system. The procedure is illustrated by simulation of two examples, one in robotics, the other in biomechanics.     

四轮转向车辆转向解耦的双点跟踪控制

针对四轮转向(4WS)无人车辆路径跟踪中的过约束问题, 本文提出一种前后轮转向解耦的双点跟踪控制策略. 建立4WS车辆单轨运动学模型, 约束前后轮转向角速度, 规划曲率连续的回旋曲线参考位姿序列, 将其解耦为前后轴中心的双点参考轨迹; 以前后轮中心点为控制点, 采用非线性反馈控制的预瞄方法分别获得转向控制率, 双点跟踪误差指数收敛于0. 仿真和实车验证结果表明, 所提出的双点跟踪控制策略横向误差标准差减少0.2 m, 横摆角误差标准差减小3.0?, 具有更大的前后轮转角控制域和较高的跟踪精度     

A decoupled sliding mode control for a continuum arm

The paper treats the control problem of a class of robots constituted by a chain of continuum segments. The technological model basis is a central, long and thin, highly flexible and elastic backbone. The segment control system is a decoupled one. The main parameters of the arm control are determined by the curvature and curvature gradient. The dynamic model is inferred. The primary benefit of the proposed method is that the dynamic equations are represented by a set of ODE’s in time instead of PDE’s in time and space, and the new curvature gradient lumped parameter model is used. A sliding mode control system is used in order to achieve the desired shape of the arm. The stability of the closed-loop control system is proven. Numerical simulations and an experimental platform are also provided to verify the effectiveness of the presented approach.     

Nearly decoupled multivariable control systems design Part 2. Multi-loop control systems design

The design technique proposed in Part 1 is successfully developed to deal with multiloop control systems design. The inner loop is used to extend the frequency range of sensitivity reduction. In the case of a ‘square’ plant this inevitably leads to an excessive noise-response bandwidth. However, it is discovered that the noise response within the inner loop can be reduced considerably by the use of extra output measurements. Again, the standard model-matching problem plays a vital role in the design of a control system with a ‘tall’ plant.     

Integrated aircraft control for rendezvous of aircraft-launched missiles with radiating targets

This paper solves the problem of rendezvous of an aircraft-launched missile with a maneuvering radiating target so as to maximize the launch range (agreed launch conditions). The information maneuver (vertical, horizontal, and spatial) of the aircraft that maximally improves the accuracy of radiating target tracking and is executed before the aircraft meets the agreed launch conditions is determined. An algorithm for determining the current demands for aircraft control with respect to bank angle and load factor is developed to solve the problem of rendezvous with each tracked target. The integrated aircraft control is based on choosing a priority target at the current time and supplying the current control demand in terms of the desired bank angle and load factor.     

Tensor product model transformation based decoupled terminal sliding mode control

The main objective of this paper is to propose a tensor product model transformation based decoupled terminal sliding mode controller design methodology. The methodology is divided into two steps. In the first step, tensor product model transformation is applied to the single-input-multi-output system and a parameter-varying weighted linear time-invariant system is obtained. Then, decoupled terminal sliding mode controller is designed based on the linear time-invariant systems. The main novelty of this paper is that the nonsingular terminal sliding mode control design is based on a numerical model rather than an analytical one. Finally, simulations are tested on cart-pole system and translational oscillations with a rotational actuator system.     

Decentralized receding horizon control for large scale dynamically decoupled systems

We present a detailed study on the design of decentralized receding horizon control (RHC) schemes for decoupled systems. We formulate an optimal control problem for a set of dynamically decoupled systems where the cost function and constraints couple the dynamical behavior of the systems. The coupling is described through a graph where each system is a node, and cost and constraints of the optimization problem associated with each node are only function of its state and the states of its neighbors. The complexity of the problem is addressed by breaking a centralized RHC controller into distinct RHC controllers of smaller sizes. Each RHC controller is associated with a different node and computes the local control inputs based only on the states of the node and of its neighbors. We analyze the properties of the proposed scheme and introduce sufficient stability conditions based on prediction errors. Finally, we focus on linear systems and show how to recast the stability conditions into a set of matrix semi-definiteness tests.     

Feedback control of decoupled bending and torsional vibrations of flexible beams

In this article, we consider a flexible beam with a rigid body, of which the bending vibration and the torsional vibration are decoupled. Therefore we need two control motors to suppress the vibrations. Each set of dynamic equations is treated in the form of an appropriate Hilbert space. A stabilizing feedback control law of each rotation motor will be established on the basis of modal analysis. A set of experiments has been carried out, and the results demonstrate the effectiveness of the dynamic model and the proposed control law. © 1994 John Wiley & Sons, Inc.     

Integrated guidance and control for dual-control missiles based on small-gain theorem

An integrated guidance and control (IGC) design approach is proposed based on small-gain theorem for missiles steered by both canard and tail controls. The angle of attack and pitch rate commands, which are aimed at producing desired aerodynamic lift to achieve robust tracking of a maneuvering target, are generated by a guidance law that is designed using input-to-state stability (ISS) theory. An IGC law is developed utilizing generalized small-gain theorem to enforce the commands, and it can be shown that both the line-of-sight (LOS) rate and the tracking error are input-to-state practically stable (ISpS) with respect to target maneuvers and missile model uncertainties. The algorithm is tested using computer simulations against a maneuvering target.     

Optimal guidance law for cooperative attack of multiple missiles based on optimal control theory

This article considers the problem of optimal guidance laws for cooperative attack of multiple missiles based on the optimal control theory. New guidance laws are presented such that multiple missiles attack a single target simultaneously. Simulation results show the effectiveness of the proposed algorithms.