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Journal of Control Science and Engineering
Volume 2016 (2016), Article ID 4195491, 14 pages
http://dx.doi.org/10.1155/2016/4195491
Research Article

Stability Analysis of a Helicopter with an External Slung Load System

Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK

Received 20 November 2015; Revised 18 April 2016; Accepted 4 May 2016

Academic Editor: Francisco Gordillo

Copyright © 2016 Kary Thanapalan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper describes the stability analysis of a helicopter with an underslung external load system. The Lyapunov second method is considered for the stability analysis. The system is considered as a cascade connection of uncertain nonlinear system. The stability analysis is conducted to ensure the stabilisation of the helicopter system and the positioning of the underslung load at hover condition. Stability analysis and numerical results proved that if desired condition for the stability is met, then it is possible to locate the load at the specified position or its neighbourhood.

1. Introduction

Recently, research on helicopter carrying external underslung loads has gained great attention in the aerospace research community for the past few decades due to the reevaluation and extension of the ADS-33 and the inherent stability problems associated with this system [13]. Helicopters have the ability to carry large and bulky loads externally on a sling. This capability is important in many applications, ranging from lifting heavy loads to saving life. Importantly, when lives are under risk and rapid rescue operations are needed, this operation is vital. The stability of the helicopter will be disturbed by the underslung load, which is a huge obstacle for an accurate pickup or placement of the loads [4]. Thus, it is necessary to resolve the stability problems associated with the system to ensure the stabilisation of the helicopter system and the positioning of the underslung load under various complicated situations.

From the review of popular helicopter control methods, it is clear that, in the past years, considerable attention has been paid to the design of controller to obtain a satisfactory helicopter handling quality [5]. The control problem has been tackled using different approaches ranging from linear quadratic control [6], eigenstructure assignment [7], classical SISO techniques [8], to sliding mode control [9]. Apart from the methods emphasised above there are many other techniques which are reported for complex modern control system design ranging from quantitative feedback theory to singular perturbation method [10].

The extensive studies of the reported controller design methods evidenced that the helicopter control and the control of a helicopter with an external underslung load are very active research areas. The research in this area is mainly motivated by the factor that the current control methods cannot provide full satisfaction to the desired design requirements on flight handling quality, stability, robustness, and so forth.

In this paper, stability analysis for the helicopter with an underslung external load system is discussed. The key advantage of the proposed method is that the analysis takes the system uncertainty into account. The proposed method can give a guaranteed stability region for the systems considered. The paper begins by presenting a mathematical model of the system and then describing the stability analysis with a numerical example to illustrate the applicability, accuracy, and effectiveness of the proposed method.

2. System Model

Considering the control of a helicopter with an underslung load, the dynamical models of both the helicopter and load have some terms which are uncertain. The uncertainties may arise from the helicopter to carry an unknown load or the immeasurable parameters in the dynamical models. The uncertainties may also arise from computational errors of the dynamical effects such as aerodynamics. Therefore for a realistic model uncertainties must be taken into account during the controller design.

A mathematical model of the helicopter described in [11] and an underslung load model presented in [4] are adopted in this work. Considering the two models, a mathematical model for a helicopter carrying an underslung load can be obtained.

Firstly, the underslung load is considered to be suspended from a single suspension point that is subject to motion and therefore modelled as a driven spherical pendulum. The equations that describe the load dynamics are obtained by first considering motion with reference to the longitudinal suspension angle in the plane (Figure 1). This is then repeated for the lateral case involving and the plane. These are then combined to obtain the model for the motion of the load. The underslung load system has six inputs, longitudinal, lateral, and vertical velocities together with the corresponding accelerations of the helicopter, whilst the outputs are the longitudinal and lateral directional suspension angles. The load is subject to an isotropic aerodynamic force (proportional to the square of its airspeed) such as what would be experienced by a spherical shaped load. Aerodynamic interaction with the helicopter that may occur, for example, due to rotor downwash, has been ignored. Finally, the sling itself is assumed to be rigid and contribute zero aerodynamic force of its own. With these assumptions, the equations governing the load motion can be derived as follows.

Figure 1: Coordinate system for the longitudinal motion in the plane.

For the case of the longitudinal motion in the plane, the mathematical model is described below:Define ; then the load model can be rewritten as follows:The helicopter model is considered as the second subsystem. To simplify the analysis, the linear helicopter model [4] is considered, which is expressed in the state space form : For linearization, it is assumed that the external forces , , and and moments , , and can be represented as analytic functions of the disturbed motion variables and their derivatives [4]. Thus the forces and moments can be written in Taylor’s expansion form. Then, the linearized equations of motion about a general trim condition can be written as in the state space form and the system matrix and control matrix are derived from the partial derivatives of the nonlinear function , that is, Now, the longitudinal rotational motion is described by the pitch angle and pitch rate together with the translation motion components so the equation of longitudinal motion can be written as follows:By applying a linear transformation such that and is defined bywhere and letting , then the system equation (5) is transformed into the following form:whereUsing (8) the system model can be rearranged to include the variables and into the load model. For the stability analysis purpose, an extra term is introduced into the system model, which is zero with the expressionwhere () are small positive constants.

With this arrangement for the longitudinal motion of the helicopter with an underslung load combined system model can be written as follows:where It is assumed that the longitudinal motion is primarily controlled by longitudinal cyclic commands and main rotor collective .

For the case of the lateral motion in the plane, with the coordinate system described in Figure 2, the load model isDefine ; then the model can be written as follows:Now, for the helicopter model the lateral rotational motion is described by the roll angle and roll rate together with the translation motion components so the equation of lateral motion can be written as follows:now using a linear transformation such that and is defined bywhere Let ; then (15) can be written in the following form:whereUsing (18) the helicopter with underslung load for lateral motion in the plane can be described bywhere It is assumed that the lateral motion is primarily controlled by lateral cyclic commands and the tail rotor collective .

Figure 2: Coordinate system for the lateral motion in the plane.

3. Stability Analysis

The goal is to analyse the stability of the combined system to ensure that it is possible to stabilise the helicopter with underslung load system modelled by (11a), (11b), (20a), and (20b), in a real environment with uncertainties. In this paper, for the stability analysis the Lyapunov second method is applied for the helicopter with an underslung external load system. The analysis for the longitudinal motion is discussed first. The system equations can be considered to have two main parts, that is, known and unknown (or partly known). The known terms formed the nominal part of the system model. The unknown or partly known part can be considered as the uncertainty to the system. The whole system is then modelled by a nominal part with the addition of uncertainty. In fact, the known elements in the subsystem (11a) are characterised by the prescribed triple and it is desired that the nominal part of the system is stable.

The basic notations and concepts required for the analysis are described first. The state space is denoted by and the control space by , where . The Euclidean inner product (on or as appropriate) and induced norm are denoted by and , respectively. Let and denote the space of all continuous functions and the space of continuous functions with continuous first-order partial derivatives, respectively, and let denote the space of functions whose partial derivatives of any order exist and are continuous, mapping . For a real-valued continuous scalar function , defined on denotes the gradient map. The Lie derivative of along a vector field is denoted by which is defined byThe Lie bracket of vector fields is the vector field defined by , where denotes the Jacobian matrix of and denotes the Jacobian matrix of .

In this paper, nonlinear systems with the following format are considered:where , . In general mathematical models of dynamical systems are usually imprecise due to modelling errors and exogenous disturbances [12]. Equation (23) can be considered as the nominal part of the system model and the uncertainty can be modelled as an additive perturbation to the nominal system model; more specifically, the structure of the system has the formwhere models the uncertainty in the system.

System (24) is globally asymptotically stable to the zero state if the system exhibits the following properties.

(i) Existence and Continuation of Solutions. For each , there exists a local solution (i.e., an absolutely continuous function satisfying (24) almost everywhere (a.e.) and ) and every such solution can be extended into a solution on .

(ii) Boundedness of Solutions. For each , there exists such that , for all on every solution with , where denote the open unit ball centred at the origin in .

(iii) Stability of the State Origin. For each , there exists such that for all on every solution with .

(iv) Global Attractivity of the State Origin. For each and , there exists such that for all on every solution with .

Consider a nonlinear system described by the ordinary differential equation as follows:where and for all . To analyse the stability of (25), Lyapunov’s second stability analysis method is applicable. The Lyapunov approach is to show that a candidate “Lyapunov function” is nonincreasing along all solution to (25) by means that do not require explicit knowledge of solutions to (25). From this, appropriate conclusion can be drawn regarding stability concepts relating to solutions of the differential equation (25). An essential part of Lyapunov’s method is the determination of the time derivative of the candidate “Lyapunov function” along all solution of the dynamical system.

Consider a Lyapunov candidate which satisfies the condition , in which case its time derivative along solutions to (25) is given by for almost all .

Let denote a positive definite function. If satisfies(i) for all ,(ii) for all , and all ,(iii) in ,then is said to be a Lyapunov function in . If in , then is said to be a weak Lyapunov function.

A set is said to be an invariant set with respect to the dynamical system if In other words is the set of points such that if a solution of belongs to at some instant initialized points at , then it belongs to for all future time.

Now, a set is said to be a local invariant manifold for (25) if, for any , with is in for where . If , then is said to be an invariant manifold.

Now considering the longitudinal motion (Figure 1) for the helicopter with an underslung external load system, choose a Lyapunov function candidate for the first subsystem aswhere () are design parameters to be determined. ThenFrom (28), can be obtained as Substituting and into the derivative of , we haveChecking the term of , it can be seen that when and are both positive or negative. The situation of and having different signs will help with the system stability. Then, If the design parameter is chosen as , satisfies the following:Further analysis on (33) will start from examining the first two terms. Rewrite these two terms. So If the hinge friction is big enough to satisfy the following: thenNow, the following analysis has been conducted for (33) and the load movement for the longitudinal motion is described byAround the hover condition and , the signs for and are opposite to the one of provided that is positive.

Considering the term for all possible combinations of the signs of and , the analysis follows below:(i)If and , then , , , and . Therefore, .(ii)If and , then , , , and . So .(iii)If and , then and , , and . So the following is true: .(iv)If and , then and , , and . So .ThereforeNow examining the rest of the terms of , then For the system, and always have different signs, and always have different signs, and and have the same signs. So ThereforeChoose the design parameters to satisfyIf , then If , then in the region of . Since is caused by the load motion here the value of should be much smaller than . The inequality (44) is easy to be satisfied.

In summary of the above analysis and by defining the following lemma can be derived.

Lemma 1. Defining a Lyapunov function (28) and choosing the design parameters to satisfy , and , then within the region specified by (i) and , ,(ii) as ,(iii), , around the hover condition or , , if (35) holds.

Both functions and are nonnegative.

Recall the control term in the first subsystem of (11a) and (11b); it can be seen that exists for all . The unknown vector fields, and , model the uncertainties imposed onto the system. Since is directly mapped into the “control” space of it can be considered as a matched uncertainty. is unknown and it does belong to the control space of ; so it represents the mismatched uncertainty in the system [12].

Generally, the range of the (longitudinal) load suspension angle is within The helicopter velocities and load suspension angle have maximum operational values; therefore the uncertainties in the system are bounded. With the Lyapunov function defined in (28), In the columns and are the same; therefore By considering the maximum values of and functions, the bounding values relating to the uncertainty can be estimated as follows:where , (), and is defined by .

For the mismatched uncertainty the following analysis is conducted to obtain its bounding function. The mismatched uncertainty can be rewritten as Let ; then Define a positive function as where is a very small positive constant. Choosing then the mismatched uncertainty is bounded by the following inequality:where denotes the th column of the matrix function and is the th component of , respectively. As has a design parameter involved it is easy to have to lead (52) to be true. For the matched uncertainty, we have Following the above analysis, the following lemma can be derived.

Lemma 2. The uncertainties (52) and (53) are bounded and satisfy, if , , and , for and